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Accident prediction model for highw ays with rest area by using poisson and binomial regression model

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dc.contributor.author Tipakornkiat, Chalat
dc.date.accessioned 2018-09-13T19:47:34Z
dc.date.available 2018-09-13T19:47:34Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/13546
dc.description.abstract Currently, rest area positively impacts on road users in terms of business points and information providers; however, the important task of rest area is reducing the number of road accident cause of fatigue. In the past, truck drivers in Thailand usually parked their vehicles on roadside or shoulder, which these harmful areas could generate road accidents when parked vehicles move out from the road shoulder to the travelled way. In Thailand, road accident situation is top 10 of the world. Research objectives consist of the determination of influencing factors that affect the road accident within upstream and downstream 16 km of rest areas in Thailand and built the accident prediction models. It was found out that main variables such as serviceability of rest areas and the number of the truck users in rest areas are significantly impacted into the accident prediction model. In summary, rest area could help to reduce the number of road accidents. en_US
dc.language.iso en en_US
dc.subject Rest Area en_US
dc.subject Accident Prediction Model en_US
dc.subject Truck en_US
dc.subject Heavy Vehicle en_US
dc.title Accident prediction model for highw ays with rest area by using poisson and binomial regression model en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Civil Engineering en_US
dc.identifier.year 2014 en_US
dc.identifier.conference 9th Asia Pacific Conference on Transportation & the Environment en_US
dc.identifier.place Mount Lavinia en_US
dc.identifier.pgnos 234-242 en_US
dc.identifier.proceeding Proceedings of the Asia Pacific Conference on Transportation & the Environment en_US
dc.identifier.doi https://doi.org/10.31705/APTE.2014.21 en_US


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  • 2014-9th [41]
    Conference Proceedings 9th Asia Pacific Conference on Transportation and the Environment

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