Modeling Travel Time Reliability of Road Network Considering Connected Vehicle Guidance Characteristics Indexes
Joint Authors
Wang, Chao
Lv, Jiarun
Zhang, Zhiqi
Li, Cuicui
Wang, Jiangfeng
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-29
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Travel time reliability (TTR) is one of the important indexes for effectively evaluating the performance of road network, and TTR can effectively be improved using the real-time traffic guidance information.
Compared with traditional traffic guidance, connected vehicle (CV) guidance can provide travelers with more timely and accurate travel information, which can further improve the travel efficiency of road network.
Five CV characteristics indexes are selected as explanatory variables including the Congestion Level (CL), Penetration Rate (PR), Compliance Rate (CR), release Delay Time (DT), and Following Rate (FR).
Based on the five explanatory variables, a TTR model is proposed using the multilogistic regression method, and the prediction accuracy and the impact of characteristics indexes on TTR are analyzed using a CV guidance scenario.
The simulation results indicate that 80% of the RMSE is concentrated within the interval of 0 to 0.0412.
The correlation analysis of characteristics indexes shows that the influence of CL, PR, CR, and DT on the TTR is significant.
PR and CR have a positive effect on TTR, and the average improvement rate is about 77.03% and 73.20% with the increase of PR and CR, respectively, while CL and DT have a negative effect on TTR, and TTR decreases by 31.21% with the increase of DT from 0 to 180 s.
American Psychological Association (APA)
Wang, Jiangfeng& Wang, Chao& Lv, Jiarun& Zhang, Zhiqi& Li, Cuicui. 2017. Modeling Travel Time Reliability of Road Network Considering Connected Vehicle Guidance Characteristics Indexes. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1170549
Modern Language Association (MLA)
Wang, Jiangfeng…[et al.]. Modeling Travel Time Reliability of Road Network Considering Connected Vehicle Guidance Characteristics Indexes. Journal of Advanced Transportation No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1170549
American Medical Association (AMA)
Wang, Jiangfeng& Wang, Chao& Lv, Jiarun& Zhang, Zhiqi& Li, Cuicui. Modeling Travel Time Reliability of Road Network Considering Connected Vehicle Guidance Characteristics Indexes. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1170549
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170549