A dynamic evacuation model for pedestrian-vehicle mixed-flow networks

被引:30
|
作者
Zhang, Xin [1 ]
Chang, Gang-len [1 ]
机构
[1] Univ Maryland, Dept Civil & Environm Engn, College Pk, MD 20742 USA
关键词
Mixed flow; Signal optimization; Evacuation; Integer-linear programming; Pedestrian; MICRO-SIMULATION; SYSTEM; OPTIMIZATION; CAPACITY; BEHAVIOR; TIME;
D O I
10.1016/j.trc.2014.01.003
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
In urban emergency evacuation, a potentially large number of evacuees may depend either on transit or other modes, or need to walk a long distance, to access their passenger cars. In the process of approaching the designated pick-up points or parking areas for evacuation, the massive number of pedestrians may cause tremendous burden to vehicles in the roadway network. Responsible agencies often need to contend with congestion incurred by massive vehicles emanating from parking garages, evacuation buses generated from bus stops, and the conflicts between evacuees and vehicles at intersections. Hence, an effective plan for such evacuation needs to concurrently address both the multi-modal traffic route assignment and the optimization of network signal controls for mixed traffic flows. This paper presents an integrated model to produce the optimal distribution of vehicle and pedestrian flows, and the responsive network signal plan for massive mixed pedestrian-vehicle flows within the evacuation zone. The proposed model features its effectiveness in accounting for multiple types of evacuation vehicles, the interdependent relations between pedestrian and vehicle flows via some conversion locations, and the inevitable conflicts between intersection turning vehicle and pedestrian flows. An illustrating example concerning an evacuation around the M&T stadium area has been presented, and the results indicate the promising properties of our proposed model, especially on reflecting the complex interactions between vehicle and pedestrian flows and the favorable use of high-occupancy vehicles for evacuation operations. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:75 / 92
页数:18
相关论文
共 50 条
  • [21] Development of probabilistic pedestrian fatality model for characterizing pedestrian-vehicle collisions
    C. Oh
    Y. S. Kang
    Y. Youn
    A. Konosu
    [J]. International Journal of Automotive Technology, 2008, 9 : 191 - 196
  • [22] Modeling Pedestrian Injury Severity in Pedestrian-Vehicle Crashes in Rural and Urban Areas: Mixed Logit Model Approach
    Chen, Zhen
    Fan, Wei
    [J]. TRANSPORTATION RESEARCH RECORD, 2019, 2673 (04) : 1023 - 1034
  • [23] Factors affecting pedestrian injury severity in pedestrian-vehicle crashes: Insights from a data mining and mixed logit model approach
    Ouyang, Huijie
    Han, Yin
    Liu, Pengfei
    Zhao, Jing
    [J]. JOURNAL OF TRANSPORTATION SAFETY & SECURITY, 2024, 16 (09) : 1015 - 1038
  • [24] Consideration of a Pedestrian Speed Change Model in the Pedestrian-Vehicle Safety Assessment of Signalized Crosswalks
    Iryo-Asano, Miho
    Alhajyaseen, Wael
    [J]. INTERNATIONAL SYMPOSIA OF TRANSPORT SIMULATION (ISTS) AND THE INTERNATIONAL WORKSHOP ON TRAFFIC DATA COLLECTION AND ITS STANDARDIZATION (IWTDCS): ADVANCED TRANSPORT SIMULATION MODELLING BASED ON BIG DATA, 2017, 21 : 87 - 97
  • [25] Exploring injury severity of pedestrian-vehicle crashes at intersections: unbalanced panel mixed ordered probit model
    Željko Šarić
    Xuecai Xu
    Daiquan Xiao
    Joso Vrkljan
    [J]. European Transport Research Review, 2021, 13
  • [26] Exploring injury severity of pedestrian-vehicle crashes at intersections: unbalanced panel mixed ordered probit model
    Saric, Zeljko
    Xu, Xuecai
    Xiao, Daiquan
    Vrkljan, Joso
    [J]. EUROPEAN TRANSPORT RESEARCH REVIEW, 2021, 13 (01)
  • [27] Pedestrian-Vehicle Detection Model Based on Optimized YOLOv3
    Tang, Kuan
    Yan, Fei
    Liu, Wenbo
    [J]. 2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 4294 - 4299
  • [28] Modified social force model for pedestrian-vehicle interactions at a signalized intersection
    Shrivas, Ankriti
    Kumar, Abhinav
    [J]. TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2024, 16 (04): : 307 - 319
  • [29] Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis
    Ridel, Daniela A.
    Deo, Nachiket
    Wolf, Denis
    Trivedi, Mohan
    [J]. 2019 30TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV19), 2019, : 913 - 918
  • [30] Pedestrian evacuation with a improved dynamic parameters model
    Nuo, Zhu
    [J]. ADVANCES IN TRANSPORTATION, PTS 1 AND 2, 2014, 505-506 : 1037 - 1040