Volume 24 Issue 6
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JIN Yin-li, GAO Peng, TAN Er-long, LI Lin-wei, LIU Kun. Review on key emergency resource deployment for expressway traffic accidents[J]. Journal of Traffic and Transportation Engineering, 2024, 24(6): 1-25. doi: 10.19818/j.cnki.1671-1637.2024.06.001
Citation: JIN Yin-li, GAO Peng, TAN Er-long, LI Lin-wei, LIU Kun. Review on key emergency resource deployment for expressway traffic accidents[J]. Journal of Traffic and Transportation Engineering, 2024, 24(6): 1-25. doi: 10.19818/j.cnki.1671-1637.2024.06.001
shu

Review on key emergency resource deployment for expressway traffic accidents

doi: 10.19818/j.cnki.1671-1637.2024.06.001
  • 1.

    School of Electronics and Control Engineering, Chang'an University, Xi'an 710064, Shaanxi, China

  • 2.

    School of Transportation Science and Engineering, Beihang University, Beijing 102206, China

  • 3.

    Hong Kong-Zhuhai-Macao Bridge Authority, Zhuhai 519060, Guangdong, China

Funds:

National Key Research and Development Program of China 2019YFB1600703

Traffic Research Project of Department of Transport of Shaanxi Province 22-04X

More Information
  • Author Bio:

    JIN Yin-li(1972-), male, professor, PhD, yljin@chd.edu.cn

  • Received Date: 2024-05-05
  • Publish Date: 2024-12-25
    Abstract
  • The key emergency resources for expressways were defined. In terms of the prevention, preparation, and response stages of emergency rescue for expressway traffic accidents, the key emergency resource deployment for expressways was divided into emergency facility location selection, allocation and dispatching of key emergency resources. The research achievements in the three aspects were systematically reviewed, and the existing problems and future research directions were discussed. Research results show that in terms of the location selection for emergency facility, current research is mostly oriented to the initial scenario of expressway planning, and the location selection result is relatively fixed. It is necessary to study the location selection methods for small and miniature emergency facilities oriented towards the stage of road operation. Limited by the model’s solving performance, existing research seldom considers the location selection for large-scale emergency facility. The combined solving algorithm that integrates multiple optimization algorithms is expected to make breakthroughs. In terms of the key emergency resource allocation, current research assumes that the complete accident information is available during the initial phase of the accident, which is inconsistent with actual condition. Using a static allocation scheme to design a dynamic resource allocation strategy is more realistic. In terms of the key emergency resource dispatching, uncertainty after traffic accidents brings challenges. Robust methods estimating the traffic state should be studied. The time-varying characteristics of traffic state after traffic accidents have great impact on the speeds of emergency vehicles. The key emergency resource dispatching methods integrating the dynamic path planning and traffic control strategies should be studied. Looking toward the future, it is necessary to study the key emergency resource dispatching method in the environment with mixed traffic flow and intelligent and connected vehicles. The dynamic change law of vehicle speed in the process of emergency vehicle dispatching should be deeply explored. In terms of the integration, the research on the integrated optimization of expressway scenarios has not yet been studied. Therefore, it is necessary to study the theory and verification methods of key emergency resource deployment for land-sea-air-space oriented towards special scenarios, such as bridges and mountainous areas, so as to improve the resilience of expressway transportation network.

     

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