Prediction of Traffic Conflicts at Signalized Intersection : A Case Study of New Baneshwor Intersection

Abstract

This study demonstrates the use of VISSIM combined with SSAM to predict vehicular interactions at New Baneshwor Intersection. Number of potential crossing, lane changing and rear-end crashes that are likely to occur per day were found to be 1, 9 and 945 respectively. The relationship between the simulated and observed conflicts was found to be statistically significant with a R-squared value of 0.8545, 0.7474, 0.8677 and 0.9138 for crossing, lane-changing, rear-end and total conflicts respectively. It was found that if the traffic signals are designed as per changing traffic volume rather than implementing the same fixed time traffic signal, the number of crossing, lane-changing and rear-end conflicts can be decreased by a maximum of 88%, 40% and 39% respectively. This study thus can be used for locating vehicular conflicts so as to reduce their number by the improvement of intersections thereby enhancing their traffic safety.