Route guidance during evacuations integrated with perimeter control strategy in large-scale mixed traffic flow networks

Mianfang Liu, Dongchu Han (), Dongmei Li () and Ming Wang ()
Additional contact information
Mianfang Liu: School of Mathematics and Computer Science, Hunan University of Science and Technology, Xiangtan, Hunan 411201, P. R. China
Dongchu Han: #x2020;School of Business, Hunan University of Science and Technology, Xiangtan, Hunan 411201, P. R. China
Dongmei Li: School of Mathematics and Computer Science, Hunan University of Science and Technology, Xiangtan, Hunan 411201, P. R. China
Ming Wang: #x2021;School of Law and Public Administration, Hunan University of Science and Technology, Xiangtan, Hunan 411201, P. R. China

International Journal of Modern Physics C (IJMPC), 2018, vol. 29, issue 11, 1-19

Abstract: Recent efficient monitoring and traffic management of large-scale mixed traffic networks still remain a challenge for both traffic researchers and practitioners. The difficulty in modeling route guidance evacuation of pedestrian-vehicle mixed flow lies in mixed flow and uneven or heterogeneous network flow. Existing studies have demonstrated that multi-region control can display different layers of traffic state measurement and control, and incorporate heterogeneity effect in the large-scale network dynamics. The optimal perimeter control can manipulate the percentages of flows that transfer between two regions, offering real-time traffic management strategies to improve the network performance. However, the effect of route guidance evacuation integrated with perimeter control strategies in case of heterogeneous traffic networks is still unexplored. The paper advances in this direction by firstly extending route choice behavior aggregation with perimeter control. For an evacuation study, we consider a campus and its surrounding traffic network that can be classified into two types of networks: the first includes emergency areas that involve a large number of evacuees, and the second includes roads that lead to different destinations. The second network consists of some regions with different evacuation directions. Based on the configuration, this paper proposes a route evacuation guidance control strategy that addresses traffic flow first assignment between regions by controlling perimeter flow with the help of Macroscopic fundamental diagram (MFD) representation and to guide evacuates’ route choice at intersections by LOGIT model in regions. In addition, comparison results show that the proposed route guidance strategy has considerable potential to improve performances and equilibrium conditions (i.e. system optimum and user equilibrium) on the overall network.

Keywords: Route guidance; perimeter control; LOGIT model; system optimum; user equilibrium; mixed traffic flow (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183118501127
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:29:y:2018:i:11:n:s0129183118501127

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0129183118501127

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 ().