Ant Colony Based Evacuation Route Optimization Model for Mixed Pedestrian-Vehicle Flows

Qiuping Li (), Zhixiang Fang () and Qingquan Li ()
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Qiuping Li: Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing
Zhixiang Fang: Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing
Qingquan Li: Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing

A chapter in Pedestrian and Evacuation Dynamics 2012, 2014, pp 1213-1224 from Springer

Abstract: Abstract Evacuation for large-scale activities usually involves a great number of pedestrians and vehicles. By applying ant colony optimization algorithm, an evacuation route optimization model for mixed pedestrian-vehicles flows is proposed in this paper. In this model, we construct a two-tier network structure in which the upper tier network is for path finding and evacuation route guidance, and the lower tier subnetwork which depicts the move directions of pedestrians and vehicles respectively is for the simulation of the movements as well as the conflicts between them. The experiment results show that the proposed model has the merit of modeling the interaction dynamics of pedestrians and vehicles and improving evacuation efficiency in an evacuation case of large-scale activities.

Keywords: Ant colony optimization; Mixed vehicle-pedestrian flows; Pedestrian-vehicle conflicts (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-02447-9_100

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DOI: 10.1007/978-3-319-02447-9_100

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