A platform for research: civil engineering, architecture and urbanism
Combined Optimisation of Traffic Light Control Parameters and Autonomous Vehicle Routes
In the near future, fully autonomous vehicles may revolutionise mobility and contribute to the development of the smart city concept. In this work, we assume that vehicles are not only fully autonomous but also centrally controlled by a single operator, who can also define the traffic light control parameters at intersections. With the aim of optimising the system to achieve a global optimum, the operator can define both the routes of the fleet of vehicles and the traffic light control parameters. This paper proposes a model for the joint optimisation of traffic light control parameters and autonomous vehicle routes to achieve the system optimum. The model, which is solved using a gradient algorithm, is tested on networks of different sizes. The results obtained show the validity of the proposed approach and the advantages of centralised management of vehicles and intersection control parameters.
Combined Optimisation of Traffic Light Control Parameters and Autonomous Vehicle Routes
In the near future, fully autonomous vehicles may revolutionise mobility and contribute to the development of the smart city concept. In this work, we assume that vehicles are not only fully autonomous but also centrally controlled by a single operator, who can also define the traffic light control parameters at intersections. With the aim of optimising the system to achieve a global optimum, the operator can define both the routes of the fleet of vehicles and the traffic light control parameters. This paper proposes a model for the joint optimisation of traffic light control parameters and autonomous vehicle routes to achieve the system optimum. The model, which is solved using a gradient algorithm, is tested on networks of different sizes. The results obtained show the validity of the proposed approach and the advantages of centralised management of vehicles and intersection control parameters.
Combined Optimisation of Traffic Light Control Parameters and Autonomous Vehicle Routes
Mariano Gallo (author)
2024
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Finding safe routes to school using optimisation methods
Online Contents | 2008
|Pedestrian traffic light and vehicle traffic light interlock control system
European Patent Office | 2021
|DOAJ | 2023
|Special London traffic initiatives - Red Routes
British Library Online Contents | 1994
|Optimisation of area traffic control subject to user equilibrium traffic assignment
British Library Conference Proceedings | 1997
|