TY - JOUR
T1 - A Two-level Traffic Light Control Strategy for Preventing Incident-Based Urban Traffic Congestion
AU - Qi, Liang
AU - Zhou, Meng Chu
AU - Luan, Wen Jing
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grants 61202028 and 61374148, and in part by the Scholarship from the China Scholarship Council.
Publisher Copyright:
© 2017 IEEE.
PY - 2018/1
Y1 - 2018/1
N2 - This work designs a two-level strategy at signalized intersections for preventing incident-based urban traffic congestion by adopting additional traffic warning lights. The first-level one is a ban signal strategy that is used to stop the traffic flow driving toward some directions, and the second-level one is a warning signal strategy that gives traffic flow a recommendation of not driving to some directions. As a visual and mathematical formalism for modeling discrete-event dynamic systems, timed Petri nets are utilized to describe the cooperation between traffic lights and warning lights, and then verify their correctness. A two-way rectangular grid network is modeled via a cell transmission model. The effectiveness of the proposed two-level strategy is evaluated through simulations in the grid network. The results reveal the influences of some major parameters, such as the route-changing rates of vehicles, operation time interval of the proposed strategy, and traffic density of the traffic network on a congestion dissipation process. The results can be used to improve the state of the art in preventing urban road traffic congestion caused by incidents.
AB - This work designs a two-level strategy at signalized intersections for preventing incident-based urban traffic congestion by adopting additional traffic warning lights. The first-level one is a ban signal strategy that is used to stop the traffic flow driving toward some directions, and the second-level one is a warning signal strategy that gives traffic flow a recommendation of not driving to some directions. As a visual and mathematical formalism for modeling discrete-event dynamic systems, timed Petri nets are utilized to describe the cooperation between traffic lights and warning lights, and then verify their correctness. A two-way rectangular grid network is modeled via a cell transmission model. The effectiveness of the proposed two-level strategy is evaluated through simulations in the grid network. The results reveal the influences of some major parameters, such as the route-changing rates of vehicles, operation time interval of the proposed strategy, and traffic density of the traffic network on a congestion dissipation process. The results can be used to improve the state of the art in preventing urban road traffic congestion caused by incidents.
KW - Timed Petri net (TPN)
KW - cell transmission model (CTM)
KW - congestion formation and dissipation
KW - discrete event system
KW - emergency strategy
KW - traffic incident
KW - traffic light control
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U2 - 10.1109/TITS.2016.2625324
DO - 10.1109/TITS.2016.2625324
M3 - Article
AN - SCOPUS:85008457525
SN - 1524-9050
VL - 19
SP - 13
EP - 24
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
IS - 1
M1 - 7802596
ER -