Real-time Traffic Signal Control for Isolated Intersection, using Car-following Logic under Connected Vehicle Environment

• Autor(a) principal: Chandan, K.
• Data de Publicação: 2017
• Outros Autores: Seco, Álvaro M., Silva, Ana Bastos
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Texto Completo: https://hdl.handle.net/10316/102076; https://doi.org/10.1016/j.trpro.2017.05.207
• topic: Adaptive control; Car-following model; Connected vehicles; EPICS; GPS; Micro-simulation; Real-time traffic signal control; VISSIM

In modern transportation systems, Connected Vehicle (CV) technology has shown its potential as a valuable traffic data source in providing real-time accurate traffic information. Connected vehicles transmit information wirelessly among vehicles and exchange the same with the traffic signal controller. This paper proposes a connected vehicle signal control (CVSC) strategy for an isolated intersection, which utilizes detailed information, including speeds and positions of GPS equipped vehicles on each approach at every second. The proposed strategy first aims at dispersing any queue that was built up during the red interval, and then starts minimizing the difference between cumulative arrival flow and cumulative departure flow on all approaches of the intersection. The proposed algorithm is well responsive to different traffic demand and fluctuations in arrival flows. The performance of the proposed strategy is compared with an adaptive signal control solution developed by PTV EPICS, which optimizes signal timings using the data collected from fixed detectors. Various traffic scenarios with 100% GPS market penetration rate were tested in the VISSIM 8 microscopic simulation tool. Results have shown that the proposed CVSC strategy showed outstanding performance in reducing travel time delays and average number of stops per vehicle when compared to the EPICS adaptive control.