Knowledge Commons of Institute of Automation，CAS
| Optimization of Crowd Evacuation With Leaders in Urban Rail Transit Stations | |
Zhou, Min1 ; Dong, Hairong1; Zhao, Yanbo2; Ioannou, Petros A.3; Wang, Fei-Yue4,5
| |
| Source Publication | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
 |
| ISSN | 1524-9050 |
| 2019-12-01 | |
| Volume | 20Issue:12Pages:4476-4487 |
| Corresponding Author | Dong, Hairong(hrdong@bjtu.edu.cn) |
| Abstract | The adoption of passenger leaders could make crowd evacuation in urban railway transit (URT) stations more efficient. The number, location, and the actions of the leaders are the most important elements in an evacuation strategy and have a great impact on evacuation efficiency. This paper proposes a hybrid bi-level model to optimize the number and initial locations of leaders as well as the routes of leaders during the evacuation, which explicitly incorporates the passengers' guidance demand and multi-leader coordination mechanism. The leaders' initial locations are generated by solving the maximal covering location problem (upper level model) and their evacuation routes are determined by a co-simulation heuristic approach (lower level model). The social force model and its modifications are used to model the dynamics of common evacuees, leaders, and followers in simulation models. The convergence performance of the proposed co-simulation heuristic approach and the effectiveness of the optimal evacuation strategy have been investigated and demonstrated using a case study of a typical island platform of Beijing's URT station. Three other evacuation strategies are considered for comparison purposes in order to show the influence of the number and initial locations of leaders as well as the multi-leader coordination mechanism during the evacuation process. Our analysis supported by simulations shows the following: 1) the optimal number of leaders exists for a given human cost and guidance demand constraints; 2) the distribution of leaders for maximal covering makes the evacuation of the followers more efficient; and 3) the proposed optimal evacuation strategy has better performance in terms of shorter evacuation time and higher utilization of exits compared with other considered strategies. |
| Keyword | Force Dynamics Heuristic algorithms Optimization Rails Public transportation Optimization evacuation leader heuristic algorithm extended maximal covering location method |
| DOI | 10.1109/TITS.2018.2886415 |
| WOS Keyword | PEDESTRIAN EVACUATION ; SIMULATION ; MODEL ; ASSISTANTS |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Science Foundation through the CPS Project[1545130] ; METRANS ; National Natural Science Foundation of China[61790573] ; National Science Foundation through the CPS Project[1545130] ; METRANS ; National Natural Science Foundation of China[61790573] |
| Funding Organization | National Science Foundation through the CPS Project ; METRANS ; National Natural Science Foundation of China |
| WOS Research Area | Engineering ; Transportation |
| WOS Subject | Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology |
| WOS ID | WOS:000505522400018 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/29504 |
| Collection | 中国科学院自动化研究所 |
| Corresponding Author | Dong, Hairong |
| Affiliation | 1.Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China 2.Univ Southern Calif, METRANS Transportat Ctr, Dept Elect Engn, Los Angeles, CA 90089 USA 3.Univ Southern Calif, Ctr Adv Transportat Technol, Dept Elect Engn, Los Angeles, CA 90089 USA 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 5.Natl Univ Def Technol, Res Ctr Computat Expt & Parallel Syst, Changsha 410073, Hunan, Peoples R China |
| Recommended Citation GB/T 7714 | Zhou, Min,Dong, Hairong,Zhao, Yanbo,et al. Optimization of Crowd Evacuation With Leaders in Urban Rail Transit Stations[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2019,20(12):4476-4487. |
| APA | Zhou, Min,Dong, Hairong,Zhao, Yanbo,Ioannou, Petros A.,&Wang, Fei-Yue.(2019).Optimization of Crowd Evacuation With Leaders in Urban Rail Transit Stations.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,20(12),4476-4487. |
| MLA | Zhou, Min,et al."Optimization of Crowd Evacuation With Leaders in Urban Rail Transit Stations".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 20.12(2019):4476-4487. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment