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

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dc.contributor.authorAcharya, Abhash
dc.date.accessioned2022-02-01T05:46:37Z
dc.date.available2022-02-01T05:46:37Z
dc.date.issued2020-08
dc.descriptionThis study demonstrates the use of VISSIM combined with SSAM to predict vehicular interactions at New Baneshwor Intersection.en_US
dc.description.abstractThis 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.en_US
dc.identifier.citationMASTER OF SCIENCE IN TRANSPORTATION ENGINEERINGen_US
dc.identifier.urihttps://hdl.handle.net/20.500.14540/7968
dc.language.isoenen_US
dc.publisherPulchowk Campusen_US
dc.titlePrediction of Traffic Conflicts at Signalized Intersection : A Case Study of New Baneshwor Intersectionen_US
dc.typeThesisen_US
local.academic.levelMastersen_US
local.affiliatedinstitute.titlePulchowk Campusen_US
local.institute.titleInstitute of Engineeringen_US
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