scholarly journals A basic study on traffic safety evaluation system for urban road network.

1991 ◽  
pp. 63-71
Author(s):  
Hirofumi IMADA ◽  
Moon NAM GUNG ◽  
Hirokazu MONDEN
Keyword(s):  
Traffic Safety ◽  
Evaluation System ◽  
Road Network ◽  
Safety Evaluation ◽  
Urban Road Network ◽  
Basic Study ◽  
Urban Road

Traffic Congestion Identification and Analysis of Urban Road Network Based on Granular Computing

2014 ◽  
Vol 641-642 ◽  
pp. 916-922 ◽  
Author(s):  
Chen Yao ◽  
Jiu Chun Gu ◽  
Qi Yang
Keyword(s):  
Rough Set ◽  
Traffic Congestion ◽  
Evaluation System ◽  
Road Network ◽  
Granular Computing ◽  
Rough Set Theory ◽  
Quotient Space ◽  
Urban Road Network ◽  
Evaluation Indexes ◽  
Urban Road

This paper proposes a generalized model based on the granular computing to recognize and analyze the traffic congestion of urban road network. Using the method of quotient space to reduce the attributes associating with traffic congestion, the identification of traffic congestion evaluation system is established including 3 first class indexes and second class indexes of 11. The weight of evaluation indexes are sorted by value in descending order, which are calculated based on rough set theory. In order to improve the efficiency of traffic congestion identification, the appropriate granular is determined by the model parameter μ. When μ is larger, the identification is more effective and the run time of model is longer conversely. Experiments show when the value of μ is between 0.8 and 0.98, the effect of traffic congestion identification is comprehensive optimal.

scholarly journals Study on Reverse Reconstruction Method of Vehicle Group Situation in Urban Road Network Based on Driver-Vehicle Feature Evolution

2017 ◽  
Vol 2017 ◽  
pp. 1-14
Author(s):  
Xiaoyuan Wang ◽  
Jianqiang Wang ◽  
Zhenxue Liu ◽  
Yaqi Liu ◽  
Jingheng Wang
Keyword(s):  
Traffic Safety ◽  
Road Network ◽  
Vehicle Group ◽  
Reconstruction Method ◽  
Urban Road Network ◽  
Target Vehicle ◽  
Urban Road ◽  
The Status ◽  
Group Situation ◽  
Feature Evolution

Vehicle group situation is the status and situation of dynamic permutation which is composed of target vehicle and neighboring traffic entities. It is a concept which is frequently involved in the research of traffic flow theory, especially the active vehicle security. Studying vehicle group situation in depth is of great significance for traffic safety. Three-lane condition was taken as an example; the characteristics of target vehicle and its neighboring vehicles were synthetically considered to restructure the vehicle group situation in this paper. The Gamma distribution theory was used to identify the vehicle group situation when target vehicle arrived at the end of the study area. From the perspective of driver-vehicle feature evolution, the reverse reconstruction method of vehicle group situation in the urban road network was proposed. Results of actual driving, virtual driving, and simulation experiments showed that the model established in this paper was reasonable and feasible.

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