TY - GEN
T1 - Arterial traffic signal coordination utilizing vehicular traffic origin-destination information
AU - Arsava, Tugba
AU - Xie, Yuanchang
AU - Gartner, Nathan H.
AU - Mwakalonge, Judith
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/14
Y1 - 2014/11/14
N2 - Traditional arterial traffic signal coordination methods are focused on providing uninterrupted flow along the arterial direction. This paper proposes a more versatile arterial traffic signal coordination method that can take into consideration of major turning traffic flows from and to cross streets. This new method is formulated as a mixed-integer linear program and solved by CPLEX. A case study based on AIMSUN simulation is conducted to demonstrate the proposed method's superiority compared to Synchro and Transyt-7F.
AB - Traditional arterial traffic signal coordination methods are focused on providing uninterrupted flow along the arterial direction. This paper proposes a more versatile arterial traffic signal coordination method that can take into consideration of major turning traffic flows from and to cross streets. This new method is formulated as a mixed-integer linear program and solved by CPLEX. A case study based on AIMSUN simulation is conducted to demonstrate the proposed method's superiority compared to Synchro and Transyt-7F.
UR - https://www.scopus.com/pages/publications/84937108376
U2 - 10.1109/ITSC.2014.6958018
DO - 10.1109/ITSC.2014.6958018
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AN - SCOPUS:84937108376
T3 - 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
SP - 2132
EP - 2137
BT - 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Y2 - 8 October 2014 through 11 October 2014
ER -