Dynamic route guidance strategy in a two-route pedestrian-vehicle mixed traffic flow system

Mianfang Liu, Shengwu Xiong and Bixiang Li
Additional contact information
Mianfang Liu: School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China, 430070, China†School of Mathematics and Computer Science, Hunan University of Science and Technology, Xiangtan, Hunan, China, 411201, China
Shengwu Xiong: School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China, 430070, China
Bixiang Li: School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei, China, 430070, China

International Journal of Modern Physics C (IJMPC), 2016, vol. 27, issue 09, 1-17

Abstract: With the rapid development of transportation, traffic questions have become the major issue for social, economic and environmental aspects. Especially, during serious emergencies, it is very important to alleviate road traffic congestion and improve the efficiency of evacuation to reduce casualties, and addressing these problems has been a major task for the agencies responsible in recent decades. Advanced road guidance strategies have been developed for homogeneous traffic flows, or to reduce traffic congestion and enhance the road capacity in a symmetric two-route scenario. However, feedback strategies have rarely been considered for pedestrian-vehicle mixed traffic flows with variable velocities and sizes in an asymmetric multi-route traffic system, which is a common phenomenon in many developing countries. In this study, we propose a weighted road occupancy feedback strategy (WROFS) for pedestrian-vehicle mixed traffic flows, which considers the system equilibrium to ease traffic congestion. In order to more realistic simulating the behavior of mixed traffic objects, the paper adopted a refined and dynamic cellular automaton model (RDPV_CA model) as the update mechanism for pedestrian-vehicle mixed traffic flow. Moreover, a bounded rational threshold control was introduced into the feedback strategy to avoid some negative effect of delayed information and reduce. Based on comparisons with the two previously proposed strategies, the simulation results obtained in a pedestrian-vehicle traffic flow scenario demonstrated that the proposed strategy with a bounded rational threshold was more effective and system equilibrium, system stability were reached.

Keywords: Pedestrian-vehicle mixed traffic flow; route guidance strategy; WROFS; asymmetric two-route traffic system; RDPV_CA model; bounded rational threshold control (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183116500996
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:27:y:2016:i:09:n:s0129183116500996

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0129183116500996

Access Statistics for this article

International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann

More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().