A cell-based dynamic congestion pricing scheme considering travel distance and time delay

Qixiu Cheng; Zhiyuan Liu; W. Y. Szeto

doi:10.1080/21680566.2019.1602487

A cell-based dynamic congestion pricing scheme considering travel distance and time delay

Qixiu Cheng
, Zhiyuan Liu^*
, W. Y. Szeto

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

43 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	1286-1304
Number of pages	19
Journal	Transportmetrica B
Volume	7
Issue number	1
DOIs	https://doi.org/10.1080/21680566.2019.1602487
Publication status	Published - 23 Dec 2019

Bibliographical note

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.

Keywords

bi-Level programming model
dynamic user equilibrium
Joint distance and time-delay toll
path-Based cell transmission model
variational inequality

Access to Document

10.1080/21680566.2019.1602487

Handle.net

Persistent link

Cite this

@article{b0375c0165184ecf8fc8f1e4d348eed5,

title = "A cell-based dynamic congestion pricing scheme considering travel distance and time delay",

abstract = "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.",

keywords = "bi-Level programming model, dynamic user equilibrium, Joint distance and time-delay toll, path-Based cell transmission model, variational inequality",

author = "Qixiu Cheng and Zhiyuan Liu and Szeto, \{W. Y.\}",

note = "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: {\textcopyright} 2019, {\textcopyright} 2019 Hong Kong Society for Transportation Studies Limited.",

year = "2019",

month = dec,

day = "23",

doi = "10.1080/21680566.2019.1602487",

language = "English",

volume = "7",

pages = "1286--1304",

journal = "Transportmetrica B",

issn = "2168-0566",

publisher = "Taylor \& Francis Group",

number = "1",

}

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 - https://www.scopus.com/pages/publications/85067485622

U2 - 10.1080/21680566.2019.1602487

DO - 10.1080/21680566.2019.1602487

M3 - Article (Academic Journal)

AN - SCOPUS:85067485622

SN - 2168-0566

VL - 7

SP - 1286

EP - 1304

JO - Transportmetrica B

JF - Transportmetrica B

IS - 1

ER -

A cell-based dynamic congestion pricing scheme considering travel distance and time delay

Abstract

Bibliographical note

Keywords

Access to Document

Handle.net

Other files and links

Fingerprint

Cite this