中国邮电高校学报(英文版) ›› 2022, Vol. 29 ›› Issue (6): 53-63.doi: 10.19682/j.cnki.1005-8885.2022.1009

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How time latency in navigation Apps affects traffic

Yang Jingjing, Guo Yuchun, Zhao Yongxiang, Chen Yishuai   

  1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
  • 收稿日期:2021-04-29 修回日期:2021-12-11 出版日期:2022-12-30 发布日期:2022-12-30
  • 通讯作者: Yang Jingjing E-mail:19111044@bjtu.edu.cn
  • 基金资助:

    This work was supported by the National Natural Science Foundation of China (61872031).

How time latency in navigation Apps affects traffic

Yang Jingjing, Guo Yuchun, Zhao Yongxiang, Chen Yishuai   

  1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
  • Received:2021-04-29 Revised:2021-12-11 Online:2022-12-30 Published:2022-12-30
  • Contact: Yang Jingjing E-mail:19111044@bjtu.edu.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61872031).

摘要:

With the recent increase in routing App usage, it is urgent to analyze the impact of inevitable information delay in routing Apps on traffic. To analyze the negative impact of such delayed routing Apps on traffic, this paper investigates the impact of ideal and delayed routing Apps on traffic. Firstly, the effect of ideal routing Apps has been explored with theoretical analysis and derivation based on a macroscopic network model. Then, an extended network model is built to characterize the delayed routing. The impact of such delayed routing Apps is investigated by simulation experiments while considering routing usage proportion and amount of delay. The results demonstrate that ideal navigation does improve traffic efficiency, but in some cases, delayed navigation is even worse than no navigation.

关键词:

traffic network, delayed routing, system performance

Abstract: With the recent increase in routing App usage, it is urgent to analyze the impact of inevitable information delay in routing Apps on traffic. To analyze the negative impact of such delayed routing Apps on traffic, this paper investigates the impact of ideal and delayed routing Apps on traffic. Firstly, the effect of ideal routing Apps has been explored with theoretical analysis and derivation based on a macroscopic network model. Then, an extended network model is built to characterize the delayed routing. The impact of such delayed routing Apps is investigated by simulation experiments while considering routing usage proportion and amount of delay. The results demonstrate that ideal navigation does improve traffic efficiency, but in some cases, delayed navigation is even worse than no navigation.

Key words: traffic network, delayed routing, system performance

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