Journal article

Attribute selection for modelling driver's car-following behaviour in heterogeneous congested traffic conditions

Kayvan Aghabayk, Majid Sarvi, William Young

Transportmetrica A Transport Science | TAYLOR & FRANCIS LTD | Published : 2014

Abstract

This paper uses a real-world data set to investigate a driver's car-following behaviour of different class of vehicles in congested traffic conditions. The existing car-following models do not explicitly consider heavy vehicle (HV) interactions with the other vehicles. This could become problematic in future due to the increasing proportion of HVs in the traffic stream. Four types of vehicle combinations were considered in this study including car-car, car-HV, HV-car, and HV-HV. The results of detailed data analysis showed that the driver's behaviours differ in each car-following combination. Further the variables which could influence the car-following behaviour in each combination were ide..

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University of Melbourne Researchers