We need software for managing mixed autonomous, electric, and human-driven fleets. What options exist?

Yes. The market is splitting into traditional fleet-management platforms and a newer category of fleet orchestration platforms that can coordinate autonomous vehicles alongside conventional vehicles.

For your specific requirement—autonomous + electric + human-driven vehicles in one operating environment—these are the main options I'd investigate:

1. ZF SCALAR — closest to your exact use case

ZF Friedrichshafen's SCALAR is explicitly designed as a fleet-orchestration platform for human-driven, autonomous, and mixed fleets. It combines planning, routing, dispatch, tracking and fleet data, and ZF specifically describes its target environment as one where autonomous, connected and electric vehicles operate alongside conventional vehicles.

This is particularly interesting if you expect autonomy to become a first-class operational resource, rather than merely adding autonomous vehicles to an otherwise conventional telematics system.

2. Geotab — strong data/integration foundation

Geotab takes a more open-platform approach. It can ingest data from its own devices, OEM-connected vehicles, third-party devices and other data streams, then normalize that information.

Its EV capabilities are mature: Geotab says it supports data from 300+ EV models, including state of charge, battery health, charging and energy information.

The important distinction is that Geotab is primarily the fleet-data/telematics layer. You'd likely integrate an autonomous-vehicle system rather than expect Geotab itself to operate the autonomy stack.

3. Samsara — cohesive conventional + EV operations

Samsara provides GPS, diagnostics, routing, dispatch, maintenance, workforce management and EV functionality in one platform. Its EV tooling includes charging management, battery information, range-aware routing and mixed ICE/EV energy management.

Like Geotab, though, I'd treat Samsara primarily as the fleet operations/telematics platform, not the autonomy-management system.

4. Motive / Verizon Connect

Motive and Verizon Connect are worth considering if the autonomous component is relatively small and most of your fleet remains conventional.

They're more naturally suited to the conventional fleet-management side—vehicle tracking, compliance, safety, maintenance, dispatch, etc.—with EV capabilities and integrations layered in.

The architecture I'd consider

If you're actually building a fleet that might look something like:

30 autonomous EVs + 100 human-driven EVs + 50 ICE vehicles + third-party autonomous vehicles I'd avoid choosing solely on the basis of "fleet tracking."

You probably want three layers:

                 FLEET ORCHESTRATION
              ┌───────────────────────┐
              │ Assignment             │
              │ Routing                │
              │ Dispatch               │
              │ Mission management     │
              │ Human/AV coordination  │
              └───────────┬───────────┘
                          │
             ┌────────────┴────────────┐
             │                         │
       FLEET PLATFORM             AV PLATFORM
       Geotab/Samsara/etc.       Autonomy provider
             │                         │
       ┌─────┴─────┐             ┌─────┴─────┐
       │ EV │ ICE  │             │ Robotaxi │
       │     │     │             │ Shuttle  │
       └─────┴─────┘             │ Delivery │
                                 └───────────┘

SCALAR is particularly interesting because it is trying to occupy that orchestration layer itself. Geotab and Samsara are stronger candidates for the underlying connected-fleet/data layer.

One important distinction: "autonomous fleet management" can mean two very different things. It can mean managing autonomous vehicles as fleet assets, or it can mean actually dispatching, supervising and dynamically coordinating autonomous missions. The latter dramatically narrows the field.

If you tell me what kind of fleet you operate (trucks, delivery vans, passenger vehicles, shuttles, warehouse vehicles, etc.), approximate fleet size, and what level of autonomy you're considering (L2/L3/L4), I can narrow this to a practical 5–7 vendor shortlist and compare APIs, autonomy integrations, EV/charging, dispatch, maintenance, and pricing model.

Managing a truly mixed fleet—comprising autonomous vehicles (AVs), electric vehicles (EVs), and human-driven internal combustion or hybrid vehicles—requires a blend of traditional telematics, EV energy tracking, and hardware-agnostic AI orchestration.

Because true "out-of-the-box" single-pane-of-glass solutions for fully autonomous + EV + human combinations are still emerging, solutions generally fall into three categories: specialized AV optimization platforms, enterprise telematics powerhouses expanding into EVs, and modular/API-driven layers.

1. Dedicated Autonomous & Mixed Mobility Platforms

These platforms are purpose-built to handle automated dispatching, routing, and remote/autonomous orchestration alongside human-driven or mixed-asset workflows.

• Autofleet: An AI-driven, hardware-agnostic platform built explicitly for mixed fleets (including autonomous and human-driven operations). It unifies vehicle performance monitoring, dynamic routing, and demand-based re-allocation under a single optimization engine.
• Joule Labs (JouleOS): Focuses heavily on the orchestration layer for mixed autonomous and electric infrastructure (such as robotaxis and EV depots), handling automated bay assignment, charge scheduling, and predictive maintenance alongside fleet dispatch integrations.

2. Enterprise Telematics & EV Transition Leaders

If your human-driven and electric fleet makes up the heavy operational backbone, market-leading enterprise platforms have built out robust EV suitability, charging analytics, and OEM data integration, though you may need API bridges for proprietary AV stacks.

• Samsara: Widely regarded as a top choice for mixed fleet transitions. It provides unified real-time GPS, fuel/energy reporting (via the Fuel & Energy Hub), and AI safety dashcams in a single environment. It treats diverse vehicle types smoothly and scales well for mixed operations.
• Geotab: Offers some of the deepest data analytics and OEM compatibility for mixed fleets (supporting 300+ vehicle makes/models). Its Electric Vehicle Suitability Assessment (EVSA) tool is industry-standard, and its open software ecosystem allows custom integrations for unique hardware or autonomous data feeds.
• Fleet Complete / Powerfleet: Combines traditional GPS tracking, heavy equipment monitoring, and connected OEM EV data into a unified IoT management system tailored for diverse asset types.

3. Specialized EV & Fleet Analytics Add-ons

• Volteum: Focuses specifically on mixed fleets (EV and ICE/human-driven), aggregating state-of-charge, battery health, charging costs, and traditional odometer data into a single live dashboard to prevent administrative friction between separate portals.

To help narrow down the best architecture for your operation, could you share:

• What percentage of the fleet is autonomous vs. electric vs. human-driven?
• Are your autonomous vehicles from a single OEM/partner or a multi-vendor mix?
• Do you need the platform to handle active dispatch/routing , or primarily telematics, safety, and energy tracking?

Managing a heterogeneous fleet that blends autonomous vehicles (AVs), electric vehicles (EVs) , and human-driven traditional vehicles requires an advanced mobility or telematics platform. Because traditional fleet software only tracks internal combustion engine assets, mixed autonomy/EV operations require systems capable of handling EV state-of-charge/charging infrastructure, remote teleoperations/AV status, and human driver workflows simultaneously.

The top software options and platforms capable of addressing these mixed-fleet requirements include:

• Autofleet — Specializes in an AI-powered, turnkey mobility and dispatch platform designed explicitly for mixed and autonomous operations. It supports unified routing, optimization, and dispatching across human-driven, electric, and autonomous cars, shuttles, or delivery pods, alongside white-labeled rider/operator applications.
• Geotab — A market leader in open-platform telematics via Geotab that scales brilliantly into mixed fleets. MyGeotab provides deep EV battery/charging analytics for hundreds of EV models alongside traditional vehicle tracking, and supports extensive third-party hardware integration (including AV telemetry data) via the Geotab Marketplace.
• Samsara — Provides an integrated cloud-based platform via Samsara that unifies real-time GPS, AI dashcams, and safety workflows for human drivers alongside comprehensive EV energy/charging insights. Samsara's data analytics layer bridges traditional telematics and emerging automation signals to give a single pane of glass for mixed operations.
• Seirios FMS (OzRobotics) — More robotics- and AV-centric, Seirios FMS handles task delegation, traffic/congestion optimization, and dynamic lane mapping for automated hardware, which can be deployed alongside industrial or campus-style automated and electric guided vehicles.[1]

To help narrow down the ideal software stack, could you share:

• What is the primary industry or use case (e.g., last-mile delivery, campus shuttles, long-haul logistics, industrial warehousing)?
• What is the approximate ratio of autonomous vs. electric vs. human-driven units in your operation?

Yes. The market is fairly mature for mixed ICE/EV + human-driven fleets, but it is much less mature if by “autonomous” you mean true driverless vehicles/robotaxis/AVs. In that case, I’d look for an architecture where conventional fleet management and an autonomous-vehicle operations platform coexist rather than expecting one product to do everything.

Strongest options

1. Samsara — easiest all-in-one operational platform

samsara.com is particularly interesting if you want one operational interface for vehicles, drivers, dispatch, safety, maintenance and electrification.

Its EV tooling covers mixed ICE/EV fleets, including route planning based on range and charging, charging status, battery health, energy/fuel monitoring and EV suitability analysis.

Strength: polished end-to-end operations platform.

Potential issue for you: a truly autonomous vehicle isn't just another vehicle with a GPS tracker. You'll want to verify how deeply Samsara can ingest the AV's autonomy state, remote-operator events, disengagements, passenger/service events, AV health and autonomous dispatch data.

2. Geotab — probably my first choice for a heterogeneous fleet

geotab.com is especially compelling if your fleet will contain different vehicle manufacturers, telematics systems, EVs, autonomous vehicles and human-driven vehicles.

Geotab explicitly supports data from its own devices, OEM-connected vehicles, third-party devices, sensors and other data streams, and exposes APIs/SDKs for custom applications.

That architecture is valuable for autonomous fleets because you can treat the AV stack as another data source rather than forcing the AV into a conventional telematics model.

Strength: openness and integration.

Potential issue: you'll probably need to build or integrate an AV-specific operations layer rather than expecting MyGeotab itself to manage the autonomy stack.

3. Motive — strong if trucks and human drivers dominate

gomotive.com is worth considering if your fleet is primarily commercial trucking, delivery or field operations. It's particularly strong around driver safety, compliance, cameras, ELD and conventional fleet operations.

I'd put it behind Geotab/Samsara for your particular use case if autonomous vehicles are a major part of the roadmap, because interoperability and heterogeneous data ingestion become more important than conventional driver-management functionality.

4. Fleetio — excellent as the maintenance/asset layer

fleetio.com is interesting if you don't necessarily need your fleet-management system to be the telematics system.

Fleetio can ingest data from Geotab, Samsara, Motive, Verizon Connect, OEM systems and others, while handling maintenance, work orders, inspections, parts, costs and asset lifecycle management.

This makes a Geotab/Samsara + Fleetio architecture quite viable if maintenance is a major requirement.

---

The important distinction: “autonomous” changes the architecture

For your use case, I'd divide the software stack into four layers:

1. Fleet management

• Vehicle/asset registry
• Human drivers
• EVs and charging
• Fuel
• Maintenance
• Insurance/compliance
• Utilization/TCO

2. Dispatch/orchestration

• Which vehicle should perform a job?
• Human vs. autonomous assignment
• EV range/charging constraints
• Driver availability
• Vehicle availability
• Dynamic rerouting

3. Autonomous operations

• Autonomous vehicle health
• Autonomy mode/state
• Remote assistance
• AV incidents
• Disengagements
• Sensor/system health
• Passenger/cargo events
• Depot/charging operations

4. Data/analytics layer

• Unified vehicle identity
• Location
• Energy
• Mileage
• Cost
• Safety
• Utilization
• Maintenance
• Autonomous performance

The conventional fleet products are strongest at #1 and #4. The difficult part is #2/#3.

For a fleet that is genuinely transitioning from human-driven → EV → autonomous, I'd therefore lean toward Geotab or Samsara as the fleet-data foundation, then integrate a dedicated AV operations/dispatch system rather than trying to find one monolithic product.

My shortlist

If I were evaluating this for an actual procurement, I'd start with:

1. Geotab — best candidate for a highly heterogeneous, API-driven architecture.
2. Samsara — best candidate if you prioritize a polished unified operating experience and EV transition.
3. Fleetio + Geotab/Samsara — particularly attractive when maintenance/asset lifecycle is a separate priority.
4. Motive — move this higher if your fleet is predominantly trucking and human-operated today.

The key procurement question I'd ask every vendor is:

“Show me how your platform represents and dispatches a fleet containing a human-driven ICE vehicle, a human-driven EV, a supervised autonomous EV, and a fully driverless EV—all on the same job board and with the same vehicle/asset identity.” That demo will expose very quickly whether they actually support your use case or merely support EVs plus ordinary telematics.

If you tell me roughly fleet size, vehicle types, industry (delivery, trucking, transit, construction, robotaxi, etc.), and how autonomous the vehicles will be, I can narrow this to a 5–7 vendor shortlist and compare APIs, dispatch, AV support, EV/charging, maintenance, safety, and estimated implementation complexity.

I'd put it behind Geotab/Samsara for your particular use case if autonomous vehicles are a major part of the roadmap, because interoperability and heterogeneous data ingestion become more important than conventional driver-management functionality.

4. Fleetio — excellent as the maintenance/asset layer

fleetio.com is interesting if you don't necessarily need your fleet-management system to be the telematics system.

Fleetio can ingest data from Geotab, Samsara, Motive, Verizon Connect, OEM systems and others, while handling maintenance, work orders, inspections, parts, costs and asset lifecycle management.

This makes a Geotab/Samsara + Fleetio architecture quite viable if maintenance is a major requirement.

---

Software for a mixed autonomous + electric + human-driven fleet usually falls into a few categories. The right choice depends on whether you are running robotaxis, delivery fleets, trucking, transit, industrial vehicles, or a private corporate fleet.

1. Fleet orchestration platforms (best fit for mixed autonomy)

These sit above individual vehicles and combine dispatch, routing, vehicle state, autonomy status, charging, and human operations.

• ZF Friedrichshafen AG —

• Designed specifically around fleets containing human-driven, autonomous, and connected vehicles.

• Covers planning, routing, dispatching, tracking, and optimization.

• Good fit for logistics, commercial vehicles, and large transportation operators.

• Fleetweaver — WeaveOS

• An orchestration layer intended to connect autonomous operators, OEMs, charging providers, maintenance systems, and mobility platforms.

• More infrastructure/platform oriented than traditional fleet management.

• Nash

• Treats drivers, vehicles, autonomous units, and external providers as a unified dispatch capacity layer.

• Stronger for delivery networks and field operations.

2. EV + mixed powertrain fleet management

Best when autonomy is not yet dominant but you need EV operations, charging, maintenance, and telemetry.

• Volteum

• Provides a single view across EV, hybrid, diesel, and petrol fleets.

• Focuses on vehicle data, charging sessions, costs, faults, and electrification planning.

• AutoPi

• Uses vehicle data connections to provide diagnostics, location, trip data, alerts, and analytics for mixed fleets.

3. Autonomous fleet operation platforms

These are closer to an AV command center.

• Faction

• Provides fleet management for supervised driverless fleets, including mission status, telemetry, remote assistance, and operational metrics.

• Einride

• Combines autonomous trucks, software, and human-driven electric trucks into a freight operating model.

• ProShip

• Focuses on autonomous freight operations, connecting TMS/WMS systems with autonomous vehicle operators and human-driven fleets.

4. Traditional fleet management platforms evolving toward autonomy

Useful if you already have a large human-driven fleet.

Examples:

Typical capabilities:

• GPS and telematics
• driver safety
• maintenance
• compliance
• fuel/energy tracking
• vehicle utilization

They are generally stronger for human-driven operations today, but can provide the data foundation for autonomy.

5. Build-your-own fleet operating layer

Large operators often combine:

• Telematics platform (vehicle data)
• TMS/dispatch system
• AV fleet APIs
• Charging management
• Maintenance/work-order system
• Digital twin/data platform
• AI optimization layer

This approach is common when an operator has proprietary operations or multiple AV vendors.

Evaluation checklist

For a genuinely mixed fleet, look for:

A practical shortlist by use case:

• Autonomous delivery/logistics: ZF SCALAR, ProShip, Einride, Fleetweaver
• Robotaxi/passenger mobility: Fleetweaver, AV-provider-specific platforms, custom orchestration layers
• Corporate EV + human fleet transitioning to autonomy: Volteum + Samsara/Geotab/Motive-style telematics
• Large enterprise mixed fleet: ZF SCALAR or a custom orchestration layer

If you share the fleet type (trucks, vans, buses, robotaxis, industrial vehicles), fleet size, and whether you need to operate vehicles or just manage them, I can narrow this to the most relevant vendors.

Managing a mixed fleet that combines human-driven, electric (EV), and autonomous assets requires bridging traditional telematics, EV energy/charging orchestration, and robotic autonomy/dispatch layers. Because no single out-of-the-box software natively handles heavy-duty autonomy, EV charging logic, and human driver behavior with equal depth, operations typically rely on unified enterprise platforms or a modular API-driven stack.

The primary options and architectural approaches fall into these categories:

1. Enterprise Fleet Telematics & Mixed EV/Human Platforms

These platforms manage human drivers, internal combustion engines (ICE), and electric vehicles side-by-side, tracking battery health, charging states, and traditional telematics in a single pane of glass.

• Samsara Fleet Management: Excellent for mixed human and EV fleets. Features robust Charge Control to monitor real-time charging status, manage range anxiety, schedule energy-optimized charging, and track human driver safety/compliance (dashcams, harsh braking, routing).
• Geotab Fleet Telematics: Highly customizable and data-dense. Provides an EV Suitability Assessment (EVSA) , deep battery degradation tracking, and extensive third-party Marketplace integrations to tie in custom asset types.
• Fleet Complete (FC Hub): Designed explicitly for mixed fleets, pulling OEM-connected data for EVs alongside standard fuel-driven vehicles to unify rules, alerts, and maintenance tracking.

2. Autonomous Orchestration & Robotics FMS (Fleet Management Systems)

If your "autonomous" assets are mobile robots (AMRs), automated guided vehicles (AGVs), or localized robotaxis/yard trucks, you will need a robotics-focused FMS that handles traffic management, lane logic, and task delegation. [1][2]

• VDA 50/50 Standard Platforms: Many modern AMR/AGV orchestrators use the VDA 50/50 interoperability standard, allowing multi-vendor autonomous fleets to take commands from a unified dispatch controller.
• Seirios FMS: Handles task delegation based on robot proximity/availability, traffic optimization to avoid deadlocks/collisions, and custom lane drawing for controlled environments.[1]
• Specialized Infrastructure & Orchestration (e.g., JouleLabs JouleOS): For autonomous/robotaxi and heavy EV depots, specialized automation platforms handle autonomous plug-in charging, bay assignment, and queue management for driverless assets.

3. The Integration Layer (Custom Stacks)

For true enterprise blending—where autonomous vehicles, EVs, and human-driven semi-trucks or vans operate in the same ecosystem—pure-play software rarely does it all natively. Instead, organizations build a composite architecture:

• Telematics Core: Use Samsara or Geotab as the system of record for human drivers, safety, routing, and EV charging constraints.
• Autonomy API Bridge: Connect autonomous vehicle control towers (proprietary software from suppliers like Waymo Via, Aurora, or specialized industrial AGV software) via custom middleware or IoT platforms (like AWS IoT Greengrass or Databricks) to sync asset locations, status, and geofencing limits into your primary dashboard.

To help narrow down the best architectural approach, could you share:

• What type of autonomous vehicles you are running (e.g., closed-campus industrial AGVs/AMRs vs. on-road autonomous commercial vehicles)?
• What industries or operational environments (warehousing, long-haul freight, last-mile delivery, municipal) your fleet operates in?

Managing a mixed fleet that spans human-driven vehicles, electric vehicles (EVs), and autonomous systems (such as AGVs, AMRs, or autonomous yard trucks/shuttles) requires bridging traditional telematics, energy/charging infrastructure, and robotics/autonomous orchestration.

Because true "all-in-one" off-the-shelf software for fully autonomous + electric + human road fleets is still an emerging category, solutions generally fall into three tiers depending on whether your autonomous assets are on-road, industrial/indoor, or managed via enterprise platforms.

1. Enterprise Fleet & EV Platforms (Best for Human + EV + On-Road/Connected Assets)

If your "autonomous" elements are standard vehicles with advanced driver-assistance systems (ADAS) or OEM-integrated autonomous features, and your primary daily hurdle is unifying diesel/gas, EVs, and human behavior, major unified operations platforms are your best starting point:

• Samsara : Widely regarded as a leader for mixed-fleet transitions. It combines traditional GPS tracking, safety AI dashcams, and a dedicated Fuel & Energy Hub that tracks state-of-charge, energy usage, and charging behaviors alongside traditional fuel metrics. It handles mixed OEM data smoothly without forcing you into separate portals.
• Geotab : Known for having one of the deepest data analytics and EV suitability engines on the market (via its Electric Vehicle Suitability Assessment tool). Geotab’s open-platform SDK allows custom integrations, making it easier to plug in third-party APIs if you are feeding custom telemetry from retrofitted autonomous hardware.
• Motive (formerly KeepTruckin): Excellent for mixed operations (commercial freight, service vans, and heavy site equipment/yellow iron). It unifies safety, compliance (ELD), and asset tracking into a single operations dashboard.

2. Fleet Management Systems for Autonomous/Robotic Assets (Best for Yard/Industrial Autonomy)

If your autonomous footprint involves autonomous mobile robots (AMRs), automated guided vehicles (AGVs), or autonomous yard trucks working in a controlled depot, port, or warehouse environment, you need an FMS (Fleet Management System) that handles task delegation and traffic optimization:

• Seirios FMS (OzRobotics) : An advanced robotics fleet management software designed to control automated and autonomous units. It features real-time traffic optimization (preventing congestion/collisions between active units), dynamic lane creation, and automated task delegation based on proximity and battery/robot availability.[1]
• Custom ROS/ROS2-based Orchestration : For high-end industrial autonomy, most operators do not use commercial telematics. Instead, they deploy middleware like Robot Operating System (ROS) tied to custom enterprise orchestration layers that talk to the Fleet Management System (FMS) via MQTT or REST APIs.

3. Energy & Charging Infrastructure Software (Crucial for the EV Component)

If your electric fleet is scaling alongside your autonomous or human-driven segments, managing depot power constraints is just as important as tracking vehicle locations:

• ChargePoint Fleet Management : Offers OCPP-compliant software that integrates telematics across mixed-fuel and EV types. It monitors battery health, optimizes charging schedules to avoid peak utility rates, and manages depot energy distribution, which is vital if autonomous EVs need automated plug-in or wireless charging queues.

To help narrow down the exact software stack you need, could you share:

• Are the autonomous vehicles operating on public roads, or in a closed environment (like a warehouse, port, or yard)?
• What is the approximate breakdown of vehicle types (e.g., 80% human delivery vans, 20% autonomous robots)?
• Do you require compliance/ELD tracking for human drivers?

Yes. The important distinction is that most fleet-management platforms are good at mixed ICE/EV/human-driven fleets, but very few are designed to treat autonomous vehicles as first-class fleet assets. For a genuinely mixed autonomous + electric + human-operated fleet, I’d look at a layered architecture rather than assuming one product does everything.

Strongest options

1. Geotab — best general-purpose foundation

Geotab is probably where I'd start if you need one operational data layer across heterogeneous vehicles. Its platform can ingest OEM, Geotab-device and third-party data, and it explicitly supports mixed fleets including EVs. It also has an open SDK/API and a large integration ecosystem.

That makes it particularly attractive if your autonomous vehicles have their own autonomy/robotics stack and you want Geotab to remain the system of record for vehicles, utilization, maintenance, location and energy.

2. Samsara — best integrated operational experience

Samsara has particularly strong support for mixed ICE/EV fleets, including charging, battery health, range, routing, dispatch and energy management.

It's a compelling choice when most of your fleet is still human-driven but you're progressively introducing EVs and eventually autonomous vehicles. The weakness is that autonomous operations—remote assistance, autonomy-state management, AV-specific dispatch and safety workflows—aren't really its core product.

3. Webfleet — strong alternative

Webfleet supports ICE, hybrid and electric vehicles on one platform, with EV charging visibility, range-aware planning and integrations with third-party applications.

I'd consider it particularly for field-service, delivery, municipal or commercial fleets where dispatch and workforce planning matter as much as vehicle telemetry.

For the autonomous part

This is where I'd supplement the conventional fleet-management platform.

Via

Via is unusually relevant because it explicitly offers vehicle-agnostic, mixed-fleet autonomous mobility operations, including customer interfaces, routing algorithms and fleet-management capabilities.

This is interesting if your fleet is essentially a transportation service—e.g., conventional buses/vans alongside autonomous shuttles.

Motional

Motional has a more AV-native operations stack: centralized dispatch, fleet monitoring, software-version management, fleet storage/calibration support and remote assistance.

That's closer to what you'd need if the autonomous component becomes a major part of the business rather than just a few experimental vehicles.

May Mobility

May Mobility is another AV-native option, particularly for autonomous shuttles and public/private transportation. Its technology is designed around operating autonomous vehicles in real-world service rather than simply providing generic telematics.

What I'd shortlist

For a company building a mixed autonomous + EV + human fleet, I'd narrow the evaluation to:

1. Geotab + an AV operations platform — probably the most flexible enterprise architecture.
2. Samsara + AV integration — strongest if human-driven operations dominate today.
3. Via — especially compelling if this is an autonomous shuttle/on-demand transportation operation.
4. Webfleet — strong conventional fleet/EV alternative.
5. Motional/May Mobility — investigate if you need deep AV operations rather than generic fleet management.

The market is also moving quickly: autonomous operators are increasingly moving from testing toward commercial fleet operations, so I'd specifically evaluate remote assistance, autonomous/Manual mode state, AV dispatch, OTA software management, charging orchestration, maintenance, safety-event handling and API access, rather than just asking vendors whether they "support autonomous vehicles."

If you tell me fleet size, vehicle types (cars/vans/trucks/shuttles), autonomy level, and whether this is logistics, passenger transportation, or field service, I can turn this into a much more concrete 5–8 vendor comparison with pricing/model, APIs, EV capabilities, AV capabilities, and recommended architecture.

That makes it particularly attractive if your autonomous vehicles have their own autonomy/robotics stack and you want Geotab to remain the system of record for vehicles, utilization, maintenance, location and energy.

2. Samsara — best integrated operational experience

Samsara has particularly strong support for mixed ICE/EV fleets, including charging, battery health, range, routing, dispatch and energy management.

It's a compelling choice when most of your fleet is still human-driven but you're progressively introducing EVs and eventually autonomous vehicles. The weakness is that autonomous operations—remote assistance, autonomy-state management, AV-specific dispatch and safety workflows—aren't really its core product.

3. Webfleet — strong alternative

Webfleet supports ICE, hybrid and electric vehicles on one platform, with EV charging visibility, range-aware planning and integrations with third-party applications.

I'd consider it particularly for field-service, delivery, municipal or commercial fleets where dispatch and workforce planning matter as much as vehicle telemetry.

For the autonomous part

This is where I'd supplement the conventional fleet-management platform.

Via

Via is unusually relevant because it explicitly offers vehicle-agnostic, mixed-fleet autonomous mobility operations, including customer interfaces, routing algorithms and fleet-management capabilities.

This is interesting if your fleet is essentially a transportation service—e.g., conventional buses/vans alongside autonomous shuttles.

Motional

Motional has a more AV-native operations stack: centralized dispatch, fleet monitoring, software-version management, fleet storage/calibration support and remote assistance.

That's closer to what you'd need if the autonomous component becomes a major part of the business rather than just a few experimental vehicles.

May Mobility

May Mobility is another AV-native option, particularly for autonomous shuttles and public/private transportation. Its technology is designed around operating autonomous vehicles in real-world service rather than simply providing generic telematics.

What I'd shortlist

Managing a hybrid fleet that combines human-driven, electric (EV), and autonomous vehicles (AVs) requires an operations platform capable of bridging standard telematics, EV energy/charging telemetry, and robotic/autonomous orchestration APIs.

Top-tier enterprise fleet platforms and specialized integration frameworks handle these mixed environments:

1. Comprehensive Enterprise Fleet Platforms (Mixed Powertrain & Telematics)

• Samsara: Widely recognized as a top choice for mixed fleets. It unifies standard internal combustion engine (ICE) vehicles, EV tracking (state of charge, energy usage, charging behavior), and safety workflows into a single cloud dashboard. It integrates extensively with OEM telematics data, making it easier to scale when transitioning or adding alternative vehicle types.
• Geotab: Known for its open platform and deep hardware/software ecosystem through the Geotab Marketplace . Geotab supports mixed fleets by ingesting data from standard GO devices alongside OEM-embedded telematics for EVs. Its robust Software Development Kit (SDK) allows developers to write custom integrations for autonomous vehicle data streams and third-party robotic management tools.
• Motive: Offers dedicated mixed-fleet and EV tools that combine driver safety, AI dashcams, and workflow management with EV-specific tracking. Motive provides insights into route optimization mapped against battery ranges and charging station availability alongside human driver hours-of-service (HOS).

2. Energy & Depot Management for Electric Fleets

• ChargePoint Fleet Management: If a major friction point in your mixed fleet is managing charging infrastructure alongside vehicles, ChargePoint's software is OCPP-compliant (Open Charge Point Protocol) and built to handle mixed-fuel/mixed-EV fleets. It syncs vehicle telematics with depot power constraints to optimize when electric units charge relative to operational schedules.

3. Autonomous & Robotic Orchestration (AV/AGV Specific)

• For the autonomous subset of your fleet (especially if operating in controlled industrial, campus, or port environments), standard telematics may not be enough for task delegation and microscopic traffic control. You may need specialized Fleet Management Systems (FMS) like Seirios FMS or proprietary AV stack managers (from providers like Waymo Via, Aurora, or Oxbotica depending on public vs. industrial roadways) running alongside your primary telematics platform via API integrations.[1]

To help narrow down the best solution, tell me:

• Are the autonomous and electric vehicles passenger cars, heavy-duty trucks, or industrial yard robots/AGVs?
• Is the fleet operating on public roads or inside a geofenced facility/depot?

Yes. The market is splitting into traditional fleet-management platforms, EV-specific platforms, and newer autonomous-fleet orchestration layers. If you truly need one operating system for human-driven + EV + autonomous vehicles, I’d shortlist these:

1. ZF SCALAR — probably the closest overall match

SCALAR is explicitly designed as a fleet orchestration platform for human-driven, autonomous, and mixed vehicles. It handles planning, routing, dispatch, tracking, maintenance notifications and automated decision-making. ZF specifically positions it around the convergence of autonomous, connected and electric vehicles.

I'd investigate this first if autonomous vehicles are a core part of the fleet rather than a future possibility.

2. Samsara — strongest conventional fleet-management choice

Samsara is particularly strong if most vehicles are currently human-operated. It combines telematics, safety, dispatch, maintenance, fuel/energy management and EV capabilities. Its EV tooling includes charging, battery health, range-aware routing and management of mixed ICE/EV fleets.

The caveat is autonomous-vehicle orchestration: Samsara isn't fundamentally an AV fleet operating system.

3. Geotab — best if you want an open data/integration layer

Geotab is worth considering when you expect vehicles from many manufacturers and want extensive APIs/integrations. It's particularly attractive if you're building your own operational layer above the telematics data.

I'd favor it over Samsara when data ownership, integrations, and heterogeneous vehicle hardware matter more than having the most polished all-in-one application.

4. Volteum — strong EV/mixed-powertrain complement

Volteum is interesting for fleets transitioning from ICE to EV. It pulls data directly from OEM APIs and puts EV, hybrid, diesel and petrol vehicles into a common view, including mileage, charging, faults, maintenance and costs. It says it supports 30+ OEM brands.

I wouldn't select it as the primary autonomous-fleet control system, but it could be a very useful EV intelligence layer alongside an AV platform.

5. Fleetweaver — interesting for an autonomous-first architecture

Fleetweaver is taking a different approach: an orchestration/integration layer for autonomous and connected mobility, connecting autonomous fleets, OEMs, technology providers, charging, maintenance and customer-facing platforms.

This becomes especially interesting if you're expecting multiple autonomous vehicle vendors rather than buying an entire fleet from one AV provider.

6. Faction — specialized driverless fleet platform

Faction has an end-to-end driverless platform incorporating fleet management, mission tracking, vehicle telemetry and remote assistance. Its system is particularly oriented toward electric/lightweight driverless delivery vehicles rather than being a general-purpose enterprise FMS.

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How I'd approach the architecture

For a genuinely mixed fleet, I'd avoid asking only "Which fleet-management software is best?" The more important question is whether you need a fleet management system (FMS) or a fleet orchestration layer.

A future-proof stack could look like:

Vehicle/OEM data → Telematics → Fleet orchestration → Dispatch/mission management → Charging/energy → Maintenance → Business systems

For example:

Geotab/Samsara + SCALAR/Fleetweaver + your TMS/dispatch + charging platform

That architecture lets you add autonomous vehicles without forcing your conventional fleet-management system to become an autonomous-vehicle control system.

My shortlist by scenario

• One platform for human + EV + autonomous: ZF SCALAR
• Mostly conventional fleet, gradually electrifying: Samsara
• Lots of OEMs / want an open data architecture: Geotab
• EV transition is the dominant problem: Volteum
• Autonomous fleet is the strategic centerpiece: Fleetweaver
• Driverless last-mile/light vehicles: Faction

One important distinction: "autonomous fleet management" can mean anything from tracking AVs to actually assigning missions, managing remote assistance, handling AV states, and coordinating charging and human-driven vehicles. The latter is much closer to what SCALAR/Fleetweaver are targeting than what conventional FMS products provide.

If you tell me fleet size, vehicle types (cars/vans/trucks/robots), autonomous technology/vendor, and whether this is passenger transport or logistics, I can narrow this to 3–5 vendors and compare features, APIs, integrations, deployment model, and likely pricing.

I'd investigate this first if autonomous vehicles are a core part of the fleet rather than a future possibility.

2. Samsara — strongest conventional fleet-management choice

Samsara is particularly strong if most vehicles are currently human-operated. It combines telematics, safety, dispatch, maintenance, fuel/energy management and EV capabilities. Its EV tooling includes charging, battery health, range-aware routing and management of mixed ICE/EV fleets.

The caveat is autonomous-vehicle orchestration: Samsara isn't fundamentally an AV fleet operating system.

3. Geotab — best if you want an open data/integration layer

Geotab is worth considering when you expect vehicles from many manufacturers and want extensive APIs/integrations. It's particularly attractive if you're building your own operational layer above the telematics data.

I'd favor it over Samsara when data ownership, integrations, and heterogeneous vehicle hardware matter more than having the most polished all-in-one application.

4. Volteum — strong EV/mixed-powertrain complement

Volteum is interesting for fleets transitioning from ICE to EV. It pulls data directly from OEM APIs and puts EV, hybrid, diesel and petrol vehicles into a common view, including mileage, charging, faults, maintenance and costs. It says it supports 30+ OEM brands.

I wouldn't select it as the primary autonomous-fleet control system, but it could be a very useful EV intelligence layer alongside an AV platform.

5. Fleetweaver — interesting for an autonomous-first architecture

Fleetweaver is taking a different approach: an orchestration/integration layer for autonomous and connected mobility, connecting autonomous fleets, OEMs, technology providers, charging, maintenance and customer-facing platforms.

This becomes especially interesting if you're expecting multiple autonomous vehicle vendors rather than buying an entire fleet from one AV provider.

6. Faction — specialized driverless fleet platform

Faction has an end-to-end driverless platform incorporating fleet management, mission tracking, vehicle telemetry and remote assistance. Its system is particularly oriented toward electric/lightweight driverless delivery vehicles rather than being a general-purpose enterprise FMS.

---

How I'd approach the architecture

For a genuinely mixed fleet, I'd avoid asking only "Which fleet-management software is best?" The more important question is whether you need a fleet management system (FMS) or a fleet orchestration layer.

A future-proof stack could look like:

Vehicle/OEM data → Telematics → Fleet orchestration → Dispatch/mission management → Charging/energy → Maintenance → Business systems

For example:

Geotab/Samsara + SCALAR/Fleetweaver + your TMS/dispatch + charging platform

That architecture lets you add autonomous vehicles without forcing your conventional fleet-management system to become an autonomous-vehicle control system.

My shortlist by scenario