Dynamic Travel Time Reliability of Urban Road Network Based on Road Users

Author(s):  
Xiao-jing Li ◽  
Hai-bo Mou ◽  
Ju-hua Yang
2021 ◽  
Author(s):  
Yi Yang ◽  
Siyu Huang ◽  
Meilin Wen ◽  
Xiao Chen ◽  
Qingyuan Zhang ◽  
...  

Abstract It is necessary to understand the operation status of the urban road network, especially when the network is complicated and uncertain. Taking travel time data as the starting point, we have studied the shortcomings of existing travel time reliability indicators. Most of them simplify or even ignore the information of traffic performance thresholds. According to the characteristics of the real urban road network, by extracting the information of the subject and object of the traffic service, we proposed measurement of the reliability of travel time in an uncertain random environment, that is, the travel time belief reliability, which takes the impact of the epistemic and random uncertainty on reliability into account. Next, we established the belief reliability model of travel task under the uncertain random road environment. The model considers path selection, departure status and road conditions, and gives a path selection algorithm under time-varying road network. Besides, using the uncertainty regression analysis method, we explored the impact of road objective factors and driving state factors on the travel time threshold. Finally, we took the actual travel task in Beijing as an example to verify the feasibility and practicability of the model and algorithm.


2010 ◽  
Vol 17 (2) ◽  
pp. 419-424 ◽  
Author(s):  
Jun-qiang Leng ◽  
Ya-ping Zhang ◽  
Qian Zhang ◽  
Ying-ping Zhao

Author(s):  
Tongyu Zhu ◽  
Congcong Li ◽  
Sanli Ma ◽  
Dongdong Wu ◽  
Chunmei Wang

2014 ◽  
Vol 989-994 ◽  
pp. 5565-5570 ◽  
Author(s):  
Song Bi ◽  
Zhong Cheng Zhao ◽  
Guan Wang ◽  
Lin Kong ◽  
Qi Diao ◽  
...  

Overpass is an important hub for urban road network facility, its traffic capacity severely restricts that of the entire road network. Since overpass area is easy to gather water in urban road network, rain water under the overpass is an important incentive for traffic jams. In this paper, a reliable and easily maintainable method is discussed to detect the depth of the road surface water, which designs and implements a monitoring system of urban road network ponding depth. Based on this, technique of predicting travel time has been researched about overpass area under water-logging condition. Through a real example, the technique discussed in this paper has been proved to be highly effective and veracious, and can be used to provide basic data for traffic guidance to plan out sound routes.


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