Modelling Longitudinal and Lateral Vehicle Movement Behavior Under Multiple Influencing Vehicles

In a microscopic traffic analysis, realistic modelling of vehicular movements in mixed traffic conditions is most important to arrive at outputs with adequate accuracy. However, the majority of the studies considered single leader vehicles as influencing vehicles to estimate the following vehicle movement which may not be a realistic behaviour under heterogeneous and non-lane discipline traffic circumstances. Moreover, both longitudinal and lateral movements take place simultaneously in such non-lane discipline situations. Considering these, the present study emphasizes the significance of the influence of other surrounding vehicles on the subject vehicle while modelling its movement and developing longitudinal (car-following) and lateral (lane change) movement models of a motorized vehicle with heterogeneous traffic conditions. For this, vehicular trajectory data was extracted from videography data from nine mid-block road sections. Accordingly, relevant independent variables of surrounding vehicles along with subject vehicle characteristics and road geometry were considered to develop car-following and lane change models for estimation of longitudinal and lateral movements respectively. The developed models have been validated using the observed data which can be utilized for estimating longitudinal and lateral vehicular movements under prevailing mixed traffic conditions with reasonable accuracy.