Maximizing User Throughput at Signalized Intersections in a Connected Vehicle Environment
Connected vehicle (CV) technology is expected to bring unprecedented opportunities to share, collect, and exploit various information on vehicles and their occupants. This capability can be exploited to develop novel traffic management strategies, replacing or complementing the current dominant strategies, which have been mainly designed to facilitate vehicle flow. Assuming that CVs are able to transmit on-board users and vehicle data, the authors propose a user-based signal timing optimisation (UBSTO) strategy, designed to optimize user throughput for signalized intersections. In the CV environment, the inputs of the proposed algorithm consist of position and speed of CVs, as well as the number of passengers travelling in each vehicle, while the output is the optimum green time duration for each signal phase. In addition, the authors proposed strategy is able to adapt the cycle length to the traffic volume condition. In case of missing users data, the same strategy can also operate in vehicle-based mode, where the objective is vehicle-throughput maximization. The performance of the proposed strategy is compared with a fully actuated controller (FAC) in microscopic simulation for several scenarios, including different CV penetration rates. The authors' findings show that UBSTO can effectively increase user throughput and decrease average user delay in comparison with FAC, while also prioritizing vehicles with higher number of users on-board. These findings have implications for further development of prioritization strategies for public transport and ride-sharing vehicles.
- Record URL:
-
Supplemental Notes:
- This paper was sponsored by TRB committee ACP25 Standing Committee on Traffic Signal Systems.
-
Corporate Authors:
Transportation Research Board
, -
Authors:
- Mohammadi, Roozbeh
- Roncoli, Claudio
- Mladenovic, Miloš N
-
Conference:
- Transportation Research Board 100th Annual Meeting
- Location: Washington DC, United States
- Date: 2021-1-5 to 2021-1-29
- Date: 2021
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: 27p
Subject/Index Terms
- TRT Terms: Connected vehicles; Mobile communication systems; Signalized intersections; Through traffic; Traffic control; Traffic volume
- Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01764357
- Record Type: Publication
- Report/Paper Numbers: TRBAM-21-00439
- Files: TRIS, TRB, ATRI
- Created Date: Feb 4 2021 11:00AM