Evaluating how right-turn treatments affect right-turn-on-red conflicts at signalized intersections
Article Properties
-
LanguageEnglish
-
DOI (url)
-
Publication Date2018/09/25
-
Indian UGC (journal)
-
Refrences42
-
Citations27
-
Yanyong Guo Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China;Department of Civil Engineering, University of British Columbia, Vancouver, British Columbia, Canada
-
Pan Liu Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China;
-
Yao Wu Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China;
-
Jingxu Chen Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China;
Cite
Guo, Yanyong, et al. “Evaluating How Right-Turn Treatments Affect Right-Turn-on-Red Conflicts at Signalized Intersections”. Journal of Transportation Safety &Amp; Security, vol. 12, no. 3, 2018, pp. 419-40, https://doi.org/10.1080/19439962.2018.1490368.
Guo, Y., Liu, P., Wu, Y., & Chen, J. (2018). Evaluating how right-turn treatments affect right-turn-on-red conflicts at signalized intersections. Journal of Transportation Safety &Amp; Security, 12(3), 419-440. https://doi.org/10.1080/19439962.2018.1490368
Guo, Yanyong, Pan Liu, Yao Wu, and Jingxu Chen. “Evaluating How Right-Turn Treatments Affect Right-Turn-on-Red Conflicts at Signalized Intersections”. Journal of Transportation Safety &Amp; Security 12, no. 3 (2018): 419-40. https://doi.org/10.1080/19439962.2018.1490368.
Guo Y, Liu P, Wu Y, Chen J. Evaluating how right-turn treatments affect right-turn-on-red conflicts at signalized intersections. Journal of Transportation Safety & Security. 2018;12(3):419-40.
Journal Categories
Social Sciences
Social Sciences
Industries
Land use
Labor
Social Sciences
Transportation and communications
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Title | 1972 | |||
| Title | 2018 | |||
| Traffic engineering handbook | 1992 | |||
| Highway Capacity Manual. | 2010 | |||
| Channelized right-turn lanes at signalized intersections: A review of practice | 2010 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Estimating crash risk and injury severity considering multiple traffic conflict and crash types: A bivariate extreme value approach | Analytic Methods in Accident Research |
| 2024 | |
Modeling the Motorcycle Crash Severity on Nonintersection Urban Roadways in the Australian State of Victoria Using a Random Parameters Logit Model | Journal of Advanced Transportation |
| 4 | 2023 |
The Effect of the Number of Right-Turn and Left-Turn Lanes on the Performance of Undersaturated Signalized Intersections | Journal of Advanced Transportation |
| 3 | 2023 |
Modeling Injury Severity for Nighttime and Daytime Crashes by Using Random Parameter Logit Models Accounting for Heterogeneity in Means and Variances | Journal of Advanced Transportation |
| 6 | 2022 |
Automated Vehicle to Vehicle Conflict Analysis at Signalized Intersections by Camera and LiDAR Sensor Fusion | Transportation Research Record: Journal of the Transportation Research Board |
| 4 | 2022 |
Citations Analysis
The category
Technology: Engineering (General). Civil engineering (General) 15
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A nonlinear programing model for collision-free lane-change trajectory planning based on vehicle-to-vehicle communication and was published in 2019. The most recent citation comes from a 2024 study titled Estimating crash risk and injury severity considering multiple traffic conflict and crash types: A bivariate extreme value approach. This article reached its peak citation in 2020, with 9 citations. It has been cited in 14 different journals, 28% of which are open access. Among related journals, the Journal of Advanced Transportation cited this research the most, with 9 citations. The chart below illustrates the annual citation trends for this article.