Bimodal Traffic Evacuation Management for Road Tunnels Considering Social Fairness: CTM-Based Model

被引:1
作者
Yin, Ruyang [1 ]
Zheng, Nan [2 ]
Zhou, Zhen [3 ]
机构
[1] Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Hong Kong 999077, Peoples R China
[2] Monash Univ, Inst Transport Studies, Dept Civil Engn, Clayton, Vic 3800, Australia
[3] Univ Illinois, Dept Stat, Champaign, IL 61820 USA
关键词
Cell transmission model (CTM); Tunnel evacuation; Social fairness; Risk evaluation; CELL TRANSMISSION MODEL; SIMULATION; BEHAVIOR; SIGNS;
D O I
10.1061/JTEPBS.TEENG-7899
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study focuses on vehicle and pedestrian traffic management in freeway tunnels during emergencies such as fire propagation caused by traffic accidents. Such accidents can result in traffic breakdowns in a short time and a limited space, leading to severe health and safety issues. This study establishes a parsimonious bimodal tunnel evacuation management strategy that can provide real-time evacuation instructions by combining real-world historical traffic data and a cell transmission model (CTM). To exploit the evacuation capability of road tunnels with both vehicle cross and passenger passages, an equivalent cellular traffic network of a road tunnel and its escape facilities is first developed for bimodal evacuation. Simultaneously considering efficiency and social fairness in an emergency evacuation, a risk evaluation function is initially established and embedded in a system optimal objective function. The rationale of the proposed compact system models and the mechanism of effective traffic management measure generation is validated based on a real freeway tunnel emergency happened in Melba and Mullum-Mullum tunnels in Melbourne, Australia. The results suggest that the proposed CTM-based model has twinned the bimodal traffic characteristics and the flexibility to balance the evacuation efficiency and social fairness consideration in road tunnels under emergency conditions.
引用
收藏
页数:10
相关论文
共 45 条
[1]   Agent-based approach for crowded pedestrian evacuation simulation [J].
Ben, Xianye ;
Huang, Xifa ;
Zhuang, Zhaoyi ;
Yan, Rui ;
Xu, Sen .
IET INTELLIGENT TRANSPORT SYSTEMS, 2013, 7 (01) :55-67
[2]  
Bukowski R. W., 2002, SFPE HDB FIRE PROTEC
[3]  
Bussieck MR, 2004, APPL OPTIMIZAT, V88, P137
[4]   Modeling pedestrian evacuation with guiders based on a multi-grid model [J].
Cao, Shuchao ;
Song, Weiguo ;
Lv, Wei .
PHYSICS LETTERS A, 2016, 380 (04) :540-547
[5]   A real-time stochastic evacuation model for road tunnels [J].
Capote, Jorge A. ;
Alvear, Daniel ;
Abreu, Orlando ;
Cuesta, Arturo ;
Alonso, Virginia .
SAFETY SCIENCE, 2013, 52 :73-80
[6]  
Carvel R, 2005, A History of Fire Incidents in Tunnels
[7]  
Chakraborty J., 2005, Natural Hazards Rev, V6, P23, DOI DOI 10.1061/(ASCE)1527-6988(2005)6:1(23)
[8]  
Chen W., 2022, Multimodal Transp, V1, P100039, DOI [10.1016/j.multra.2022.100039, DOI 10.1016/J.MULTRA.2022.100039]
[9]   Modeling a Car-Following Model with Comprehensive Safety Field in Freeway Tunnels [J].
Chen, Zheng ;
Wen, Huiying .
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2022, 148 (07)
[10]   First-order pedestrian traffic flow theory [J].
Daamen, W ;
Hoogendoorn, SP ;
Bovy, PHL .
TRAFFIC FLOW THEORY 2005, 2005, (1934) :43-52