Prediction of Traffic Conflicts at Signalized Intersection : A Case Study of New Baneshwor Intersection
Date
2020-08
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Pulchowk Campus
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.
Description
This study demonstrates the use of VISSIM combined with SSAM to predict vehicular
interactions at New Baneshwor Intersection.
Keywords
Citation
MASTER OF SCIENCE IN TRANSPORTATION ENGINEERING