Name
Abstract | ||
|---|---|---|
In recent years, the number of motor vehicles in the country has risen rapidly. Traffic demand has continued to grow, while land resources, capital and energy have become increasingly tense. The development trend of urban transport system is not optimistic. Especially in the face of major events, vehicle evacuation suddenly increased, which is a serious planning for the evacuation of a serious challenge. Reasonable and accurate implementation of the emergency evacuation plan is to make the evacuation time at least, to minimize the major traffic congestion protection. Among them, route selection and traffic flow distribution are the core contents of emergency evacuation plan. In this paper, traffic emergency evacuation of major activities is taken as the research object, and the state vector of each road is introduced into the navigation system according to the linking analysis algorithm thought. The network model of evacuation route selection is established by using the theory of spatial diversity and the theory of minimum cost maximum flow, and an empirical analysis is made on the road network. Based on the research, the emergency evacuation plan for large-scale activities is proposed, and the theory and method system of emergency evacuation are enriched, which can help with formulating more reasonable and effective traffic management policies according to the characteristics of emergency evacuation, meanwhile we provide decision-making basis for urban emergency evacuation transportation planning and management. An experimental evaluation is also conducted with the real data from city of Beijing, in aspects of effectiveness and efficacy. |
Year | DOI | Venue |
|---|---|---|
2018 | https://doi.org/10.1007/s10707-018-0320-y | GeoInformatica |
Keywords | Field | DocType |
Emergency evacuation,Dynamic navigation,Path selection,Vector,Large-scale event | Data mining,Traffic flow,Emergency evacuation,Research Object,Navigation system,Transport engineering,Geography,Transportation planning,Beijing,Network model,Traffic congestion | Journal |
Volume | Issue | ISSN |
22 | 2 | 1384-6175 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhi Cai | 1 | 56 | 11.26 |
| Fujie Ren | 2 | 0 | 0.68 |
| Yuanying Chi | 3 | 0 | 1.01 |
| Xibin Jia | 4 | 0 | 1.69 |
| Lijuan Duan | 5 | 215 | 26.13 |
| Zhiming Ding | 6 | 5 | 3.85 |