Coordinated Intersection Signal Design for Mixed Traffic Flow of Human-Driven and Connected and Autonomous Vehicles
Abstract
This manuscript investigated coordinated intersection signal design problem for mixed traffic flow of Human-Driven Vehicles (HDVs) and Connected and Autonomous Vehicles (CAVs). Two main macroscopic impact of the mixed flow on signal setting are considered: saturation flow rate and the platoon dispersion. In order to capture the traffic flow operational characteristics on coordinated intersections, three locations, namely entrance location where the loop detector was located at, and upstream intersection and downstream intersection were defined. Two types of vehicle cumulative curves, namely cumulative arrival profile and cumulative departure profile were constructed. The mixed-flow traffic dynamics were analyzed, and the arrival-departure curves relationship was derived using a combination of Newell car-following and Akçelik acceleration model. A mixed-flow platoon dispersion model was proposed to describe the vehicle's progression between two locations. Due to the nonlinear nature of the problem, a particle swarm optimization (PSO) method was employed to obtain the optimal signal parameters, including the cycle length, green duration, and optimal offset. The algorithm was implemented and validated in a case study involving two intersections, with the demand formulated and simulated by the Markov chain. The results showed that the proposed model could effectively decrease delays when compared with current signal control methods.
Recommended Citation
H. Qi et al., "Coordinated Intersection Signal Design for Mixed Traffic Flow of Human-Driven and Connected and Autonomous Vehicles," IEEE Access, vol. 8, pp. 26067 - 26084, Institute of Electrical and Electronics Engineers (IEEE), Jan 2020.
The definitive version is available at https://doi.org/10.1109/ACCESS.2020.2970115
Department(s)
Civil, Architectural and Environmental Engineering
Keywords and Phrases
Connected and autonomous vehicles; Coordinated signal control; Cumulative curves; Platoon dispersion; Traffic flow modeling
International Standard Serial Number (ISSN)
2169-3536
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2020 The Authors, All rights reserved.
Publication Date
01 Jan 2020
Comments
Zhejiang Province Public Welfare Technology Application Research Project, Grant 2018YFB1600900