Proceedings of the

The 33rd European Safety and Reliability Conference (ESREL 2023)
3 – 8 September 2023, Southampton, UK

Analysis of Road Transport Networks Travelled by both Internal Combustion and Electric Vehicles and Subject to Traffic Congestion due to Incident Scenarios

Lida Naseh Moghanlou1,a, Francesco Di Maio1,b and Enrico Zio2,3

1Energy Department, Politecnico di Milano, Via La Masa 34, Milano, Italy.

2MINES Paris-PSL, Centre de Recherche sur les Risques et les Crises (CRC), France.

3Department of Energy, Politecnico di Milano, Milan, Italy.


In this work, we use Finite State Machine (FSM) and Cell Transmission Model (CTM) for the analysis of a road transportation network travelled by both Internal Combustion Vehicles (ICVs) and Electric Vehicles (EVs). The application to a realistic network shows that FSM catches better than CTM the traffic volume changes when accidents occur, but paying the price of a larger computational cost. CTM, instead, averages the vehicles motion, thus somehow overlooking traffic congestions and travel time delays that would result in extra energy consumptions and EVs charging demand.

Keywords: Road transportation network, Accident scenarios, Internal Combustion Vehicle (ICV), Electric Vehicle (EV), Single-vehicle model, Flow-vehicle model, Finite State Machine (FSM), Cell Transmission Model (CTM).

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