Master’s in Fleet and Traffic Management Engineering
Online master's programme of 1,900 hours in fleet and traffic management engineering. 12 modules covering multi-robot systems, layout modelling, task allocation, multi-agent path planning, traffic and deadlock management, energy management, communications, system integration and fleet simulation under VDA 5050, ISO 3691-4:2023 and ANSI/RIA R15.08-2-2023, with an assigned technical tutor.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Model layouts as route graphs for robot fleets.
Design real-time task allocation algorithms.
Apply multi-agent path planning techniques.
Prevent blocking and deadlocks in robot traffic.
Plan the energy management of the fleet.
Integrate fleet managers with WMS through VDA 5050.
Size fleets using discrete-event simulation.
Who it's for
- Fleet management engineers.
- Intralogistics specialists.
- Multi-robot systems developers.
- Logistics simulation analysts.
- AGV and AMR integrators.
- Warehouse operations managers.
- Engineering or science graduates aiming to enter intralogistics.
What you'll work with
- VDA 5050 (AGV/AMR–fleet manager communication interface)
- ISO 3691-4:2023 (safety of driverless industrial trucks)
- ANSI/RIA R15.08-2-2023 (safety of industrial mobile robot systems and integration)
- ISO 13849-1:2023 (safety-related parts of control systems)
- IEC 62443-3-3 (industrial system security requirements)
- IEEE 802.11ax (Wi-Fi 6 wireless networking)
- Directive 2006/42/EC (EU Machinery Directive)
- Open-RMF
- Google OR-Tools
- AnyLogic
- FlexSim
- Node-RED
12 modules · 1900 h
1.1Types of AGV, AMR and lifting AMR1.2Centralised and distributed architectures1.3Components of a fleet manager1.4Life cycle of a transport order1.5Fleet capacity and throughput1.6Interaction with conveyors and automated warehouses1.7KPIs: utilisation, cycle time and availability1.8Interoperability between manufacturers1.9Evolution of fleet management suppliers1.10Case study: diagnosis of an existing fleet
2.1Route graphs: nodes and edges2.2Topological versus metric maps2.3Zones, lanes and one-way routes2.4Loading, unloading and waiting points2.5Turning and clearance constraints2.6Modelling doors, lifts and crossings2.7Edge and node capacity2.8Layout parameterisation in VDA 50502.9Versioning of route maps2.10Workshop: graph modelling of a warehouse
3.1The assignment problem and the Hungarian algorithm3.2Auctions and market-based allocation3.3Dynamic allocation with time windows3.4Order priorities and urgencies3.5Chaining and batching of missions3.6Repositioning idle robots3.7Nearest-neighbour heuristics3.8Mixed-integer programming for dispatching3.9Allocation quality metrics3.10Practical: dispatcher with OR-Tools
4.1The MAPF problem and its complexity4.2Conflict-Based Search (CBS)4.3Prioritised planning and cooperative planning4.4Space-time reservations on graphs4.5Routes with kinematic constraints4.6Lifelong MAPF in continuous operation4.7Planning under execution uncertainty4.8Replanning strategies4.9Scalability to hundreds of robots4.10Lab: comparison of CBS and prioritised planning
5.1Intersection control and mutual exclusion5.2Deadlock detection and prevention5.3Resolving livelocks and circular waits5.4Virtual traffic lights and blocking zones5.5Queue management at stations5.6Right of way and overtaking5.7Zone-based speed control5.8Coexistence with manual forklifts5.9Incidents and broken-down robots on route5.10Case study: resolving deadlocks at an intersection
6.1LFP and lead-acid battery technologies6.2Opportunity charging and full charging6.3Charger allocation strategies6.4State of charge and battery degradation6.5Sizing charging stations6.6Inductive versus contact charging6.7Charge planning with demand forecasting6.8Energy impact on productivity6.9Lithium battery safety6.10Practical: sizing chargers through simulation
7.1Industrial Wi-Fi and roaming7.2Private 5G networks for robots7.3Latency and packet loss7.4MQTT protocol in VDA 50507.5order, state and instantActions messages7.6Visualisation and the robot factsheet7.7OPC UA integration with plant equipment7.8Radio coverage and site survey7.9Behaviour on loss of link7.10Lab: exchanging VDA 5050 orders
8.1Interfaces with WMS, WCS and MES8.2Order management from ERP8.3Microservices architecture of the fleet manager8.4Databases and event logging8.5REST APIs and message queues8.6Synchronisation with automated warehouses8.7Management of lifts and automatic doors8.8Traceability of loads and pallets8.9Operator interfaces and HMI8.10Case study: integrating AMRs with a WMS
9.1Discrete-event simulation9.2Modelling in AnyLogic and FlexSim9.3Multi-agent simulation with Open-RMF9.4Sizing the number of robots9.5Bottleneck analysis9.6Peak demand scenarios9.7Validating layouts before deployment9.8Digital twin of the operation9.9Statistical analysis of replications9.10Practical: fleet sizing in AnyLogic
10.1ISO 3691-4 for driverless vehicles10.2Operating zones and confined zones10.3Risk analysis of the complete system10.4Signage and acoustic warnings10.5ANSI/RIA R15.08 requirements10.6Safety in mixed environments with pedestrians10.7Validation of system integration10.8Fleet manager cybersecurity10.9Documentation and user training10.10Case study: risk analysis of a route
11.1Real-time fleet monitoring11.2Performance dashboards11.3Analysis of historical mission data11.4Demand forecasting with machine learning11.5Predictive maintenance of robots11.6Dynamic adjustment of routes and priorities11.7Managing layout changes11.8Incremental fleet scaling11.9Total cost of ownership11.10Workshop: fleet KPI dashboard
12.1Characterisation of flows and demand12.2Route graph design12.3Selected allocation algorithms12.4Traffic strategy and deadlock prevention12.5Charging and communications plan12.6Simulation and sizing12.7Analysis of results and KPIs12.8Conclusions and deployment proposal12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
A 100% online programme on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so it fits alongside your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Open-RMF, Google OR-Tools, AnyLogic, FlexSim and Node-RED, in free, academic or evaluation versions. Exercises are based on real procedures: fleet sizing through simulation, resolving deadlocks in real layouts, and integrating orders with a WMS. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: VDA 5050, ISO 3691-4:2023, ANSI/RIA R15.08-2-2023, ISO 13849-1:2023, IEC 62443-3-3, IEEE 802.11ax, Directive 2006/42/EC.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent proven professional experience.
- Internet connection and a computer capable of running the programme software.
- English sufficient to read technical standards.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with Open-RMF, Google OR-Tools, AnyLogic, FlexSim and Node-RED, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the software and English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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