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Safety Analysis at Unsignalized T Intersection Using PET and Extreme Value Theorem
https://orcid.org/http://orcid.org/0000-0003-2624-5586
As per the Ministry of Road Transport and Highways reports, unsignalized intersections in India, are a major accident risk and frequently contribute to road accidents. Analyzing crash-based safety in India is challenging due to reasons such as limited access to crash reports, inconsistent reporting, and small sample sizes. The present study evaluated and compared safety for right-angle crashes at two unsignalized T intersections using post-encroachment time (PET) as a surrogate safety measure. Conflicts are considered rare compared to the number of kilometers travelled by drivers. So, in the present study traffic conflicts were modelled using the extreme value approach. Generalized Extreme Value (GEV) and Gumbel distribution through the block maxima approach have been implemented to model extreme events. The safety and risk of unsignalized T intersection are assessed using daytime data from two sites in Kerala. In the absence of real crash data, the results of the extreme value methods were validated by Post Encroachment Time and Critical Speed method. It was found that site 1 is riskier when compared to site 2 in both the analysis. The proposed methodology can evaluate and compare the safety of different locations in the absence of historical crash data. Additionally, Extreme Value Theorem (EVT) Models can provide valuable insights into the factors associated with safety–critical events.
Safety Analysis at Unsignalized T Intersection Using PET and Extreme Value Theorem
https://orcid.org/http://orcid.org/0000-0003-2624-5586
As per the Ministry of Road Transport and Highways reports, unsignalized intersections in India, are a major accident risk and frequently contribute to road accidents. Analyzing crash-based safety in India is challenging due to reasons such as limited access to crash reports, inconsistent reporting, and small sample sizes. The present study evaluated and compared safety for right-angle crashes at two unsignalized T intersections using post-encroachment time (PET) as a surrogate safety measure. Conflicts are considered rare compared to the number of kilometers travelled by drivers. So, in the present study traffic conflicts were modelled using the extreme value approach. Generalized Extreme Value (GEV) and Gumbel distribution through the block maxima approach have been implemented to model extreme events. The safety and risk of unsignalized T intersection are assessed using daytime data from two sites in Kerala. In the absence of real crash data, the results of the extreme value methods were validated by Post Encroachment Time and Critical Speed method. It was found that site 1 is riskier when compared to site 2 in both the analysis. The proposed methodology can evaluate and compare the safety of different locations in the absence of historical crash data. Additionally, Extreme Value Theorem (EVT) Models can provide valuable insights into the factors associated with safety–critical events.
Safety Analysis at Unsignalized T Intersection Using PET and Extreme Value Theorem
https://orcid.org/http://orcid.org/0000-0003-2624-5586
As per the Ministry of Road Transport and Highways reports, unsignalized intersections in India, are a major accident risk and frequently contribute to road accidents. Analyzing crash-based safety in India is challenging due to reasons such as limited access to crash reports, inconsistent reporting, and small sample sizes. The present study evaluated and compared safety for right-angle crashes at two unsignalized T intersections using post-encroachment time (PET) as a surrogate safety measure. Conflicts are considered rare compared to the number of kilometers travelled by drivers. So, in the present study traffic conflicts were modelled using the extreme value approach. Generalized Extreme Value (GEV) and Gumbel distribution through the block maxima approach have been implemented to model extreme events. The safety and risk of unsignalized T intersection are assessed using daytime data from two sites in Kerala. In the absence of real crash data, the results of the extreme value methods were validated by Post Encroachment Time and Critical Speed method. It was found that site 1 is riskier when compared to site 2 in both the analysis. The proposed methodology can evaluate and compare the safety of different locations in the absence of historical crash data. Additionally, Extreme Value Theorem (EVT) Models can provide valuable insights into the factors associated with safety–critical events.
Safety Analysis at Unsignalized T Intersection Using PET and Extreme Value Theorem
Transp. in Dev. Econ.
Therattil, Jino Thomas (author) / Avinash, More Prathamesh (author) / Bharadwaj, Nipjyoti (author)
2025-04-01
Article (Journal)
Electronic Resource
English
Safety Analysis at Unsignalized T Intersection Using PET and Extreme Value Theorem
| Springer Verlag | 2025
Interim materials on unsignalized intersection capacity
| TIBKAT | 1991
Estimating the Safety Effects of Intersection Sight Distance at Unsignalized Intersections
| British Library Online Contents | 2016
Unsignalized Intersection Capacity and Level of Service: Revisiting Critical Gap
| British Library Online Contents | 1995
| Springer Verlag | 2020