Analysis on Passenger Distribution Based on Precise Comprehensive Traffic System
International Journal of Science, Technology and Society
Volume 4, Issue 5, September 2016, Pages: 74-79
Received: Oct. 16, 2016; Published: Oct. 17, 2016
Views 3229      Downloads 81
Authors
Yang jie, Zhejiang Institute of Communications, Hangzhou, China
Wang jie, Zhejiang Scientific Research Institute of Transport, Hangzhou, China; National Public Information Platform for Transportation and Logistics, Hangzhou, China
Article Tools
Follow on us
Abstract
Building a comprehensive traffic system is a new pattern and also a necessary choice of China’s traffic development. Based on the background of urban mass construction of rail transit, this paper takes the hidden danger of traffic system as a breakthrough point, focusing on secure guarantee measures, and come up with an idea that we should take the coordination and cooperation between road transit and rail transit as well as internal system of rail transit in the public traffic system as a breakthrough, and build a precise urban comprehensive traffic system. The author has also done a quantitative research on scale of passenger flow which is influenced by operation failures in rail transit network, which is regarded as a key problem of precise comprehensive traffic system.
Keywords
Traffic Engineering, Precise, Comprehensive Traffic, Collaborative Roads and Rails
To cite this article
Yang jie, Wang jie, Analysis on Passenger Distribution Based on Precise Comprehensive Traffic System, International Journal of Science, Technology and Society. Vol. 4, No. 5, 2016, pp. 74-79. doi: 10.11648/j.ijsts.20160405.12
References
[1]
Jin Jia. Analysis on Concept of Comprehensive Transportation [J]. Comprehensive Transportation, 2011, 7:4-7.
[2]
Ping Guo. Characteristics and Prediction for Related Problems of Passenger Flow in Urban Rail Transit [J]. Research on Urban Rail Transit, 2010, 13(1):58-62.
[3]
Yi Wang, Ruihua Xue. Forcast of Short-term Metro Passenger Flow Based on the Periodically Varying Characteristics[J]. Research on Urban Rail Transit, 2010, 13(1): 46- 49.
[4]
Jian Li. Passenger Distribution Modeling and Security Alarms Research under Continuous Delayed Capacity Declined Station for Subway Station [C]. The key technology of city rail transit forum Chinese in 2013, 2013.09
[5]
E. Wendler. The scheduled waiting time on railway lines [J]. Transportation Research Part B, 2007, 41: 148–158.
[6]
M. Pavankumar, M. M. Dessouky and O. Fernando, et al. A delay estimation technique for single and double-track railroads[J]. Transportation Research Part E, 2009, 4: 1-13.
[7]
T.Huisman, R.J.Boucherie. Running times on railway sections with heterogeneous train traffic[J]. Transportation Research Part B, 2001,35:271–292.
[8]
Q.Lu, M.M Dessouky, R.C.Leachman. Modeling of train move-ments through complex networks[J].ACM Transactions on Model-ing and Computer Simulation, 2004,14:48–75.
[9]
M.Pavankumar, M.M.Dessouky and O.Fernando, et al. A delay estimation technique for single and double-track railroads[J]. Transportation Research Part E, 2009,4:1-13.
[10]
A.Higgins, E.Kozan. Modeling train delays in urban networks[J]. Transportation Science,1998,32(4):346-357.
ADDRESS
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
U.S.A.
Tel: (001)347-983-5186