Analysis of the Impact of Emergencies on Traffic Capacity under BA Network and the Application of the Static Local Routing Strategy
- DOI
- 10.2991/iccia-19.2019.31How to use a DOI?
- Keywords
- urban traffic, static local routing strategy, BA network model, emergencies.
- Abstract
Emergencies in cities, which happen from time to time, greatly affect the normal operation of the traffic network, and even cause traffic congestions. Combined with the impact of the emergencies on the node transmitting capacity, a dynamic model of traffic network was established on the basis of the scale-free BA network. In the model, the impact of the emergencies on the network traffic was analyzed, and the optimal parameters under different levels of emergencies were obtained by applying the static local routing strategy to the emergency models. The simulation results showed that optimized routing strategy improved the generation rate of the network critical information packets, making the distribution of nodes more balanced, the path finding better, and the average transmission time less, so that the congestion of the node data packets was effectively solved. As a result, the impact of the emergencies on the network transportation was reduced and the traffic congestion caused by emergencies was effectively alleviated.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Duoli Qiu AU - Xiangzhi Zhuo AU - Yue Zheng AU - Yanyan Guo AU - Yuping Dai PY - 2019/07 DA - 2019/07 TI - Analysis of the Impact of Emergencies on Traffic Capacity under BA Network and the Application of the Static Local Routing Strategy BT - Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019) PB - Atlantis Press SP - 206 EP - 213 SN - 2352-538X UR - https://doi.org/10.2991/iccia-19.2019.31 DO - 10.2991/iccia-19.2019.31 ID - Qiu2019/07 ER -