Title: A mobile application enabled emergency routing algorithm for large-scale events

Authors: Wenhao Li; Kang Kai; Huibo Bi; Yanyan Chen

Addresses: Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Chaoyang, 100021, China ' Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Chaoyang, 100021, China ' Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Chaoyang, 100021, China ' Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Chaoyang, 100021, China

Abstract: Scenic spots have gradually become the research hotspot of passenger flow optimisation because of the diversity of passenger flow aggregation, the complexity of passenger flow temporal and spatial characteristics, the frequent occurrence of congestion events, and the weak resilience in emergencies. One of the main reasons for traffic congestion and safety issue in scenic spots is the concentrations on popular routes and attractions, especially in emergency situations. Therefore, the passenger flows can be optimised due to the fact that different people could have different needs in route selections. Thus, this paper designs a path selection and destination guidance algorithm based on random neural networks to provide safe routes in emergencies during large-scale sporting events. This algorithm selects different types of paths for different types of personnel and can recommend destinations according to environmental conditions and personnel needs. In addition, a mobile application based scenic spot service system is established to conduct path planning, scenic spot guidance and emergency services for different types of personal.

Keywords: random neural networks; route planning; destination guidance; emergency navigation.

DOI: 10.1504/IJCCM.2024.140448

International Journal of Chinese Culture and Management, 2024 Vol.5 No.4, pp.310 - 328

Received: 15 Jun 2022
Accepted: 04 Nov 2022
Published online: 19 Aug 2024 *

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