TY - JOUR
T1 - A cell-based dynamic congestion pricing scheme considering travel distance and time delay
AU - Cheng, Qixiu
AU - Liu, Zhiyuan
AU - Szeto, W. Y.
N1 - Funding Information:
This study is supported by the General Project 71771050 of the National Natural Science Foundation of China, the Research Grants Council of the Hong Kong Special Administrative Region of China [grant number 17201915], and the Scientific Research Foundation of Graduate School of Southeast University [grant number YBPY1885].
Publisher Copyright:
© 2019, © 2019 Hong Kong Society for Transportation Studies Limited.
PY - 2019/12/23
Y1 - 2019/12/23
N2 - This study introduces the dynamic congestion pricing (DCP) problem with the consideration of the actual travel distance and time delay (i.e. a joint distance and time-delay toll, JDTDT) in a dynamic network, which is more equitable and effective compared with existing tolling scheme. The system dynamics can be reflected in two aspects: (a) travelers' path choice decisions follow the dynamic user equilibrium principle and (b) the joint distance and time-delay toll takes a time-varying pattern. A multiperiod demand scheme is adopted during the entire modeling horizon and a bi-level programming model for the DCP is formulated to obtain the optimal toll value. Numerical results indicate that the percentage reductions of the minimum total system travel time in the dynamic JDTDT scheme are 6.28%, 4.30% and 7.45% compared to that obtained by the static joint JDTDT, the dynamic joint distance and time toll, and the dynamic pure distance toll, respectively.
AB - This study introduces the dynamic congestion pricing (DCP) problem with the consideration of the actual travel distance and time delay (i.e. a joint distance and time-delay toll, JDTDT) in a dynamic network, which is more equitable and effective compared with existing tolling scheme. The system dynamics can be reflected in two aspects: (a) travelers' path choice decisions follow the dynamic user equilibrium principle and (b) the joint distance and time-delay toll takes a time-varying pattern. A multiperiod demand scheme is adopted during the entire modeling horizon and a bi-level programming model for the DCP is formulated to obtain the optimal toll value. Numerical results indicate that the percentage reductions of the minimum total system travel time in the dynamic JDTDT scheme are 6.28%, 4.30% and 7.45% compared to that obtained by the static joint JDTDT, the dynamic joint distance and time toll, and the dynamic pure distance toll, respectively.
KW - bi-Level programming model
KW - dynamic user equilibrium
KW - Joint distance and time-delay toll
KW - path-Based cell transmission model
KW - variational inequality
UR - http://www.scopus.com/inward/record.url?scp=85067485622&partnerID=8YFLogxK
U2 - 10.1080/21680566.2019.1602487
DO - 10.1080/21680566.2019.1602487
M3 - Journal article
AN - SCOPUS:85067485622
SN - 2168-0566
VL - 7
SP - 1286
EP - 1304
JO - Transportmetrica B
JF - Transportmetrica B
IS - 1
ER -