International Conference on Construction and Real Estate Management 2020
Research on Evaluation Model for Urban Intelligent Transport System
Publication: ICCREM 2020: Intelligent Construction and Sustainable Buildings
ABSTRACT
Intelligent transport system (ITS) is a new development direction of city infrastructure. This paper selects 15 indexes from demand, supply, management, and output. Then, the method of principal component analysis is used to evaluate the urban intelligent transport system of 33 cites, they are divided into four classes by the cluster analysis. Result shows that the output is the best in C of large cities, B, D, and C are better than A of super-large cites. Taking Hangzhou and Qingdao as examples, this paper analyses intelligent transport system five problems from safety, cost, low-carbon, open and share data, and privacy protection. At last, this paper puts forward six suggestions to improve intelligent transport system.
Get full access to this article
View all available purchase options and get full access to this chapter.
ACKNOWLEDGMENTS
We thank the Bureau of Statistics, Police, Transport Bureau of 33 cities providing the datum for this paper. This paper analysis is limited due to insufficient data, if the number of sample city more, the data more, the better our analysis. We thank Shandong Social Science foundation, this paper is one part the research project of “Study on the Path and Model of Data Industry in Shandong” from Shandong Social Science Fund.
REFERENCES
Aslam, J., Lim, S. and Pan, X.H. (2012). “City-scale traffic estimation from a roving sensor Network.” SenSys’ 12, New York, U.S., 141-154.
Charles, D. (2015). “The design of an Intelligent Urban Transportation System in Jamaica based on the Internet of Things.” Proceedings of the IEEE Southeast Conference 2015, Florida, U.S., 9-12.
Guo, D.Z. (2017). “Research on evaluation index and method of urban intelligent transportation development level.” Time Finance, (9), 278-281. (in Chinese).
Li, M.W. (2019). “Research on the development index of ‘internet + traffic’ in view of transportation operation demand.” Journal of Southwest Jiaotong University (Social Sciences), (4), 119-130. (in Chinese).
Li, Y., Wang, X.Y., Mao, Y.Y. and Zhang, A.A. (2019). “Research on evaluation index and method of urban intelligent transportation development level.” Business, (2019), 249-250. (in Chinese).
Lin, T., Ji, Y.T., Liu, L.B. and Zhu, J.L. (2018). “Construction and implementation of intelligent transportation model from the perspective of cooperative governance.” Journal of People’s Public Security University of China (Science and Technology), (4), 83-87. (in Chinese).
Malik, F. and AliShah, M. (2018). “Intelligent transport system: an important aspect of emergency management in smart cities.”Proceedings of the 24th International Conference on Automation and Computing, Newcastle, UK, 6-7.
Ricardo, S.C. and Álvaro, P. (2019). “Methodology for design of an Intelligent Transport System (ITS) architecture for intermediate Colombian city.” Ingenieriay Competitividad, (20), 49-62.
Stenneth, L., Thompson, K. and Stone, W. (2012). “Automated transportation transfer detection using GPS enable smartphones.” Proceedings of 15th International IEEE Conference on Intelligent Transportation System, Anchorage, U.S., 802-807.
Xu, F. (2019). “Research on traffic congestion management based on intelligent city.” Intelligent City, (6), 6-7. (in Chinese).
Yang, C.C. and Peng, J.X. (2019). “Index system for urban transportation.” Statistics and Decision, (2019), 63-66. (in Chinese).
Yildirimoglu, M. and Geroliminis, N. (2013). “Experienced travel time prediction for congested freeways.” Transportation Research Part B, (53), 45-63.
Zhang, D.Z., Sun, J. and Peng, Z.R. (2013). “Urban taxi goodness index and system implementation of GIS.” Journal of Transportation Systems Engineering and Information Technology, 13(1), 87-96. (in Chinese).
Information & Authors
Information
Published In
ICCREM 2020: Intelligent Construction and Sustainable Buildings
Pages: 129 - 139
Editors: Yaowu Wang, Ph.D., Harbin Institute of Technology, Thomas Olofsson, Ph.D., Luleå University of Technology, and Geoffrey Q. P. Shen, Ph.D., Hong Kong Polytechnic University
ISBN (Online): 978-0-7844-8323-7
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Oct 14, 2020
Published in print: Oct 14, 2020
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.