Abstract
With the rapid development of the Internet of vehicles (IoV), how to analyze and apply the big data based on the IoVs has become a research hotspot. Among them, the traffic performance index (TPI) is an important method to evaluate the urban congestion. In this paper, the actual bus data of Yancheng are analyzed to evaluate the TPI of urban public transport. Based on the speed of urban public transport, the definition of urban TPI is defined by partitioning its running speed. With the JavaScript (JS) development environment, the TPI under the urban bus scene based on Baidu map is realized. Based on the analysis of bus big data, the change rules of TPI of urban morning and evening peak can be evaluated. It is helpful for the urban bus manager to make a decision and correct the traffic condition by studying the actual operation of urban public transportation.
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Acknowledgements
This work is partially supported by the Ministry of Education-China Mobile Research Foundation, China (No. MCM20170205), the Communication Science Research Project of Ministry of Industry and Information Technology, China (No. 2019-R-26), the Six talent peaks project of Jiangsu Province (No. DZXX-008), the Postdoctoral Science Foundation, China (Nos. 2019M661900 and 2019K026) and the Research Foundation of NJUPT (Nos. NY220028 and NY217146).
Yancheng Bus Co., Ltd and China Mobile Group Jiangsu Co., Ltd have cooperated with the real-time public transportation system. The actual bus data used in this paper is provided by China Mobile Group Jiangsu Co., Ltd and approved by Yancheng Bus Co., Ltd.
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Ding, F., Wang, Y., Cai, G., Zhang, D., Zhu, H. (2021). Design and Evaluation of Traffic Congestion Index for Yancheng City. In: Liu, Q., Liu, X., Li, L., Zhou, H., Zhao, HH. (eds) Proceedings of the 9th International Conference on Computer Engineering and Networks . Advances in Intelligent Systems and Computing, vol 1143. Springer, Singapore. https://doi.org/10.1007/978-981-15-3753-0_74
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DOI: https://doi.org/10.1007/978-981-15-3753-0_74
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