Dynamic Guidance Strategy for Pedestrian Travel in Large-Scale Activity under Harsh Environment
Large-scale activities such as the Winter Olympics are usually held in areas with low temperature or other harsh environments, which greatly affects the spectating experience of pedestrians. In order to improve the travel efficiency and reduce the safety risk of pedestrians, an adaptive information-...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/8581215 |
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| _version_ | 1832553582984953856 |
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| author | Wenbo Huang Yanyan Chen Shushan Chai Huibo Bi |
| author_facet | Wenbo Huang Yanyan Chen Shushan Chai Huibo Bi |
| author_sort | Wenbo Huang |
| collection | DOAJ |
| description | Large-scale activities such as the Winter Olympics are usually held in areas with low temperature or other harsh environments, which greatly affects the spectating experience of pedestrians. In order to improve the travel efficiency and reduce the safety risk of pedestrians, an adaptive information-distribution strategy of VMS (variable message sign) for road networks is proposed to guide the pedestrians. In the proposed strategy, the dynamic feedback mechanism between the VMS information distribution and the state of crowded pedestrians is established, and the dynamic optimization model of the VMS information release layout is formulated. To evaluate the effectiveness of the strategy, a multiagent-based simulation method is proposed. Through numerical simulation, it is found that the guidance strategy can improve the movement efficiency by adjusting releasing duration of VMS information or improving the information obedience rate of pedestrians. In this paper, a large-scale competition area in the Xiaohaituo Mountain in Beijing was taken as an example to simulate the scenarios of ingress and egress with and without the strategy. The results show that the average walking time and the road congestion can be significantly reduced in the road network with the strategy, and the proportion of pedestrians with shorter travel time can be increased. Therefore, the research can provide theoretical foundation and data support for managers to guide passenger flows and improve the spectating experience. |
| format | Article |
| id | doaj-art-02d31a9d31b14096bcaf16ebf9154d0c |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-02d31a9d31b14096bcaf16ebf9154d0c2025-02-03T05:53:35ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/8581215Dynamic Guidance Strategy for Pedestrian Travel in Large-Scale Activity under Harsh EnvironmentWenbo Huang0Yanyan Chen1Shushan Chai2Huibo Bi3Beijing Key Lab of Traffic EngineeringBeijing Key Lab of Traffic EngineeringResearch Institute for Road Safety of MPSBeijing Key Lab of Traffic EngineeringLarge-scale activities such as the Winter Olympics are usually held in areas with low temperature or other harsh environments, which greatly affects the spectating experience of pedestrians. In order to improve the travel efficiency and reduce the safety risk of pedestrians, an adaptive information-distribution strategy of VMS (variable message sign) for road networks is proposed to guide the pedestrians. In the proposed strategy, the dynamic feedback mechanism between the VMS information distribution and the state of crowded pedestrians is established, and the dynamic optimization model of the VMS information release layout is formulated. To evaluate the effectiveness of the strategy, a multiagent-based simulation method is proposed. Through numerical simulation, it is found that the guidance strategy can improve the movement efficiency by adjusting releasing duration of VMS information or improving the information obedience rate of pedestrians. In this paper, a large-scale competition area in the Xiaohaituo Mountain in Beijing was taken as an example to simulate the scenarios of ingress and egress with and without the strategy. The results show that the average walking time and the road congestion can be significantly reduced in the road network with the strategy, and the proportion of pedestrians with shorter travel time can be increased. Therefore, the research can provide theoretical foundation and data support for managers to guide passenger flows and improve the spectating experience.http://dx.doi.org/10.1155/2022/8581215 |
| spellingShingle | Wenbo Huang Yanyan Chen Shushan Chai Huibo Bi Dynamic Guidance Strategy for Pedestrian Travel in Large-Scale Activity under Harsh Environment Journal of Advanced Transportation |
| title | Dynamic Guidance Strategy for Pedestrian Travel in Large-Scale Activity under Harsh Environment |
| title_full | Dynamic Guidance Strategy for Pedestrian Travel in Large-Scale Activity under Harsh Environment |
| title_fullStr | Dynamic Guidance Strategy for Pedestrian Travel in Large-Scale Activity under Harsh Environment |
| title_full_unstemmed | Dynamic Guidance Strategy for Pedestrian Travel in Large-Scale Activity under Harsh Environment |
| title_short | Dynamic Guidance Strategy for Pedestrian Travel in Large-Scale Activity under Harsh Environment |
| title_sort | dynamic guidance strategy for pedestrian travel in large scale activity under harsh environment |
| url | http://dx.doi.org/10.1155/2022/8581215 |
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