TY - JOUR
T1 - Dynamic local vehicular flow optimization using real-time traffic conditions at multiple road intersections
AU - Lee, Sookyoung
AU - Younis, Mohamed
AU - Murali, Aiswarya
AU - Lee, Meejeong
N1 - Funding Information:
This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) through the Ministry of Education under Grant 2016R1D1A1B03930635.
Publisher Copyright:
© 2019 IEEE.
PY - 2019
Y1 - 2019
N2 - Dynamic management of vehicular traffic congestion to maximize throughput in urban areas has been drawing increased attention in recent years. For that purpose, a number of adaptive control algorithms have been proposed for individual traffic lights based on the in-flow rate. However, little attention has been given to the traffic throughput maximization problem considering real-time road conditions from multiple intersections. In this paper, we formulate such a problem as maximum integer multi-commodity flow by considering incoming vehicles that have different outgoing directions. Then, we propose a novel adaptive traffic light signal control algorithm which opts to maximize traffic flow through and reduce the waiting time of vehicles at an intersection. The proposed algorithm adjusts traffic light signal phases and durations depending on real-time road condition of local and neighboring intersections. Via SUMO simulation, we demonstrate the effectiveness of the proposed algorithm in terms of traffic throughput and average travel time.
AB - Dynamic management of vehicular traffic congestion to maximize throughput in urban areas has been drawing increased attention in recent years. For that purpose, a number of adaptive control algorithms have been proposed for individual traffic lights based on the in-flow rate. However, little attention has been given to the traffic throughput maximization problem considering real-time road conditions from multiple intersections. In this paper, we formulate such a problem as maximum integer multi-commodity flow by considering incoming vehicles that have different outgoing directions. Then, we propose a novel adaptive traffic light signal control algorithm which opts to maximize traffic flow through and reduce the waiting time of vehicles at an intersection. The proposed algorithm adjusts traffic light signal phases and durations depending on real-time road condition of local and neighboring intersections. Via SUMO simulation, we demonstrate the effectiveness of the proposed algorithm in terms of traffic throughput and average travel time.
KW - Adaptive traffic light control
KW - dynamic traffic management
KW - k-commodity flow problem
KW - traffic flow maximization
UR - http://www.scopus.com/inward/record.url?scp=85063268980&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2019.2900360
DO - 10.1109/ACCESS.2019.2900360
M3 - Article
AN - SCOPUS:85063268980
SN - 2169-3536
VL - 7
SP - 28137
EP - 28157
JO - IEEE Access
JF - IEEE Access
M1 - 8648386
ER -