A Study on Surrogate Safety Measures at Unsignalized Intersection Blackspots in a Mixed Traffic Scenario
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 150, Issue 11
Abstract
Vehicular movement and driver behavior at unsignalized intersections are responsible for increasing the susceptibility to potential crashes. Among them, unsignalized blackspots need serious attention because they have records of several crashes occurring. At intersections, right-turning vehicles from major and minor roads take risky actions and undergo serious conflicts with high-speed through-moving vehicles. So, the study proposed crash severity levels intending to predict the chances of crashes at unsignalized intersection blackspots for crossing and rear-end conflicts using estimated surrogate safety measures (SSM), i.e., postencroachment time (PET) and modified time to collision (MTTC), along with indicators like critical speed and time to stop (Ts). The study also focused on determining the percentage of critical conflicts and vehicle combinations for crossing and rear-end conflicts. To achieve the outcomes of the study, video data and crash data from four unsignalized intersection blackspots (three-legged and four-legged) from Nagpur, India, were collected. The PET values were determined for right-turning and crossing conflicts, and MTTC values were used for rear-end conflicts. Based on the threshold values of these SSM parameters, a range of crash severity values was proposed using the -mean clustering analysis method. The severity level was divided into four levels, from A being the most severe to D having the least severe values, indicating that drivers have less than 1 s to react to a situation of conflict. From the study, it was observed that the percentage of critical conflicts was between 20.67% and 35.22% for crossing conflicts and 66.67% to 89.47% for rear-end conflicts. The vehicle combinations of two wheelers–two wheelers (2W–2W), two wheelers–light motorized vehicles (2W–LMV), and two wheelers–three wheelers (2W–3W) were found to be critical for crossing conflicts, and for rear-end conflicts, 2W–2W, LMV–2W, and LMV–LMV were critical.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. Vehicle typewise PET and MTTC values for both crossing and rear-end conflicts would be available on request.
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© 2024 American Society of Civil Engineers.
History
Received: Aug 9, 2023
Accepted: May 30, 2024
Published online: Aug 24, 2024
Published in print: Nov 1, 2024
Discussion open until: Jan 24, 2025
ASCE Technical Topics:
- Accidents
- Business management
- Driver behavior
- Highway and road management
- Highway transportation
- Highways and roads
- Infrastructure
- Intersections
- Practice and Profession
- Public administration
- Public health and safety
- Safety
- Traffic accidents
- Traffic engineering
- Traffic management
- Traffic safety
- Traffic signals
- Transportation engineering
- Vehicles
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