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Author:

Yuan, Lei (Yuan, Lei.) | Yang, Bowen (Yang, Bowen.) | Chi, Yuanying (Chi, Yuanying.) (Scholars:迟远英) | Liu, Zunhao (Liu, Zunhao.) | Guo, Limin (Guo, Limin.)

Indexed by:

EI Scopus

Abstract:

When an emergency occurs in a city, it causes a large accumulation of vehicles on the roads. It is particularly important to provide effective emergency route planning decisions for vehicles. To make vehicle evacuation more effective and mitigating traffic congestion, a Grid Map Emergency Route Planning (GMERP) methodology is designed. In particular, we first divide the road network into multiple grids and use the connectivity between the grids and the commuting capacity of the road as the weight of the grid. Then, a Grid Map Evacuation Area Recommendation (GM-EAR) method is introduced by considering the road speed, which calculates the commuting capacity of the raster through a sorting algorithm and recommends the raster with stronger computing capacity as the evacuation area. To allow more vehicles to reach the evacuation area in a short time, when planning a path, an Emergency Route Planning Analytic Hierarchy Process (ERP-AHP) method is introduced. The ERP-AHP calculates the road weight by taking into account the factors that affect the road traffic comprehensively so that the planned route has better evacuation ability. The experimental results show that the GMERP model can effectively evacuate vehicles around the congested area. © 2021, Springer Nature Switzerland AG.

Keyword:

Motor transportation Roads and streets Hierarchical systems Traffic congestion Vehicles Emergency traffic control

Author Community:

  • [ 1 ] [Yuan, Lei]Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Yang, Bowen]Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Chi, Yuanying]Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Liu, Zunhao]Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Guo, Limin]Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

  • 迟远英

    [chi, yuanying]beijing university of technology, beijing; 100124, china

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Source :

ISSN: 0302-9743

Year: 2021

Volume: 12567 LNCS

Page: 122-135

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

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