Acceleration models for two-wheelers and cars in mixed traffic: effect of unique vehicle-following interactions and driving regimes

Driving behaviour in mixed traffic conditions is chara-cterized by vehicle heterogeneity and lane-less move-ment. In such traffic conditions, the following response of a vehicle may be discontinuous and gets triggered when certain thresholds on relative speed and spacing with the leaders are crossed. In this context, the pre-sent study segments vehicular response into driving re-gimes using vehicle trajectory data based on relative speed and position. Acceleration models are formulat-ed by featuring driving regimes and their interactions with mixed traffic attributes. These models are used to study the differences in the following behaviour of two-wheelers and cars. The proposed models capture the asymmetric behaviour and account for differences across driving regimes, resulting in a significantly bet-ter fit and realistic representation of mixed traffic.