Run Your Autonomous Fleet From One Screen
WebbingStone builds custom fleet management systems for autonomous vehicles — a cloud platform that lets your operators monitor every self-driving EV, AGV or AMR on a live map, dispatch it with one click, and act on telemetry before problems reach the site floor.
Proven in the field: we designed and delivered a fleet management system for a Japanese autonomous-EV transport joint venture, taking it from a short proof of concept to a production platform running unmanned logistics vehicles between factory buildings.
What Is an Autonomous Vehicle Fleet Management System?
An autonomous vehicle fleet management system (FMS) is the control tower for driverless vehicles. Where the vehicle’s own software handles perception and driving, the FMS handles everything around it: registering vehicles, planning and deploying routes, sending start/stop/pull-over commands, streaming location and battery status in real time, raising alerts, and keeping an audit trail of every action. Indoor AGVs have had this for years — our platform brings the same control to outdoor autonomous logistics, where vehicles cross yards, ramps and public-style roads between buildings.
Key Features
Everything an operations team needs to run autonomous transport safely, built as one modular platform.
Real-time monitoring on a live map
Every vehicle’s position, speed, battery, driving mode and online/offline status, refreshed every second over WebSocket, with heat-maps, trip layers and historical replay.
Dispatching and command control
Start, stop, pull over, resume or change route on demand; command queueing for vehicles that are temporarily offline; acknowledgement lifecycle and a searchable command history; emergency stop with confirmation.
Route and station management
Draw multi-stop routes directly on the map, manage stations, keep a route library, deploy routes to vehicles, and import/export GeoJSON.
Map management for autonomous driving
Upload point-cloud (PCD) and Lanelet2/OSM vector maps, version them with a changelog, and activate maps per project. Built for Autoware-based vehicles.
Vehicle fleet management
Vehicle registration, serial numbers, licensing status, OS/agent version tracking, grouping, bulk operations and a fleet overview dashboard.
Telemetry dashboard
CPU, RAM, disk and sensor health per vehicle, historical time-series charts, configurable retention and CSV/JSON export.
Notifications and alerts
Rule-based alert engine for vehicle-offline, geofence violation, low battery and command failure, with in-app and email notifications.
Multi-tenant projects, roles and 2FA
Isolate sites or customers as separate projects; superadmin, project admin, operator and viewer roles; TOTP two-factor login.
Audit logging and security hardening
Who did what, when and from where; entity change history; API-key management for vehicle agents; rate limiting and secure headers.
Open REST and WebSocket API
Full CRUD API with OpenAPI (Swagger) documentation for integration with WMS, production-management and V2I systems.
Applications: Where Autonomous Fleet Management Pays Off
Outdoor transport between buildings is the last part of the logistics chain still done by hand. An FMS turns autonomous EVs into a reliable shift-to-shift workforce across these environments:
Manufacturing plants
Inter-building transfer of parts, WIP and finished goods between warehouses and production lines.
Logistics and distribution centres
Yard shuttles, cross-dock moves and pallet transport between facilities on the same site.
Energy and chemical plants
Scheduled material runs across large, hazardous sites with strict safety and audit requirements.
Airports and ports
Baggage, cargo and equipment movement airside or dockside on fixed routes.
Campuses, resorts and entertainment venues
People and goods movement across private grounds, from universities to theme parks.
Agriculture and mining
Repetitive haul routes on unpaved terrain, day and night, in all weather.
Why Choose WebbingStone for Fleet Management Software Development?
Delivered, not theoretical
Our FMS is already running autonomous EV transport for an industrial client in Japan, built pilot-first so the client validated the architecture in weeks before committing to the full build.
Vehicle-agnostic by design
A documented vehicle-agent protocol (heartbeat, location, status, command acknowledgement) plus a simulator, so you can integrate any autonomous vehicle, AGV or AMR and test without hardware.
Autoware and open-standards ready
Native support for PCD point-cloud and Lanelet2 maps, GeoJSON routes and a REST/WebSocket API mirroring the way leading autonomous-driving FMS platforms are architected.
Enterprise-grade cloud infrastructure
Multi-AZ AWS deployment with auto-scaling, Infrastructure as Code, CI/CD with staged approvals, automated backups and CloudWatch monitoring. Deployable in any AWS region to meet data-residency rules.
Compliance built in
Encryption at rest and in transit, role-based access, full audit logging, and experience with Japan’s APPI and Egypt’s PDPL data-protection regimes.
Milestone-based delivery
Two-week sprints with written acceptance per milestone, full source-code handover in GitLab, and optional post-launch support plans.
How We Build Your Fleet Management System
Discovery and proof of concept (4–6 weeks)
We integrate your vehicle protocol or a simulator, stand up authentication, live map, real-time communication and basic dispatching on staging, and demo the full login → monitor → dispatch → command workflow.
Core platform
Multi-tenancy, full user and role management, and complete vehicle fleet management.
Dispatch, routing and maps
Advanced route and station management, map upload and versioning, command palette and queueing.
Monitoring, telemetry and alerts
Enhanced monitoring dashboard, telemetry storage and charts, rule-based notifications.
Production readiness and launch
Audit logging and security hardening, production infrastructure, load testing, UAT, operator training and go-live support.
Technology Stack
Backend: .NET Core, SignalR, REST API, WebSocket | Frontend: React, MapLibre GL, deck.gl | Data: PostgreSQL, Redis, Amazon S3 | Infrastructure: AWS ECS Fargate, RDS, multi-AZ, Terraform/CDK, GitLab CI/CD, CloudWatch. All third-party components are open source with no licensing cost.
Frequently Asked Questions
Can the system manage vehicles from different manufacturers?
Yes. Vehicles connect through a documented agent protocol over WebSocket, so any autonomous EV, AGV or AMR that can report position and status and accept commands can be integrated, regardless of vendor.
Does it work with Autoware?
The platform was built for the Autoware ecosystem: it manages PCD point-cloud maps and Lanelet2 vector maps, station data and GeoJSON routes, and its architecture mirrors the leading Autoware-based FMS platforms.
Can it integrate with our WMS, ERP or site equipment?
Yes. A full REST API with OpenAPI documentation and secure API keys allows integration with warehouse, production-management and vehicle-to-infrastructure systems such as gates, shutters and signal lights.
Where is the data hosted?
Wherever your data-residency rules require. We deploy on AWS in the region of your choice — Tokyo, Frankfurt, Bahrain, Virginia and others — with encryption at rest and in transit.
How long does a proof of concept take?
Typically four to six weeks to a working, browser-accessible pilot with live map, real-time vehicle communication, route creation and dispatching, plus a vehicle simulator, API documentation and a live demo.
Ready to Automate Your Outdoor Logistics?
Tell us about your vehicles, your site and your routes, and we will scope a proof of concept for your autonomous fleet management system.