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.
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Acknowledgment
This work is supported by National Key R&D Program of China (No. 2017YFC0803300), the Beijing Natural Science Foundation (No. 4192004), the National Natural Science of Foundation of China (No. 61703013, 91646201), the Project of Beijing Municipal Education Commission (No. KM201810005023, KM201810005024).
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Yuan, L., Yang, B., Chi, Y., Liu, Z., Guo, L. (2021). Vehicle Emergency Route Planning Based on Grid Map. In: Meng, X., Xie, X., Yue, Y., Ding, Z. (eds) Spatial Data and Intelligence. SpatialDI 2020. Lecture Notes in Computer Science(), vol 12567. Springer, Cham. https://doi.org/10.1007/978-3-030-69873-7_9
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DOI: https://doi.org/10.1007/978-3-030-69873-7_9
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