Abstract
Collecting microscopic data is difficult under heterogeneous traffic conditions. This data is essential when modelling heterogeneous traffic at a microscopic level. In this paper, microscopic data collected under heterogeneous traffic conditions using a video image processing technique is presented. Data related to heterogeneous traffic such as vehicle composition in the traffic stream, a lateral distribution of vehicles, lateral gaps and longitudinal gaps have been collected. The lateral distribution of vehicles on a ten‐meter wide road has been analyzed with a specific emphasis on motorized two‐wheeler movement. Using trajectory data, an attempt to examine the gap maintaining the behaviour of vehicles under different traffic conditions has been made. Empirical relationships between the lateral gap and area occupancy have been proposed for various vehicle combinations. The influence of difference in the lateral positions of leading and following vehicles on the longitudinal gap has been analyzed.
Highlights
Traffic data collected either at microscopic or macroscopic levels is important for understanding traffic behaviour
The effect of flow, the fraction of Light Motor Vehicles (LMV), occupancy, speed, and area occupancy on the lateral gap maintaining the behaviour of LMV–LMV vehicle combination is presented is Fig. 3 showing that the average lateral gap for this vehicle combination is decreasing with increasing flow, occupancy and area occupancy
Road width utilization is found to be significantly different under heterogeneous traffic conditions compared to that of lane-based homogeneous traffic
Summary
Traffic data collected either at microscopic or macroscopic levels is important for understanding traffic behaviour. In the streams of heterogeneous traffic, vehicle movement is influenced by all surrounding stationary and moving objects (vehicles, median etc.) Under these conditions, the driver can utilize any space available on the road without any lane discipline. At higher traffic volumes, a large proportion of motorized two-wheelers and bicycles are able to move with speeds closer to their free speeds because of their ability to utilize smaller gaps in the traffic stream This observed feature of heterogeneous traffic is too complex to model without analyzing field data on vehicular interactions. Different microscopic data extracted from trajectories and the analysis of the gap maintaining behaviour of vehicles is analyzed. Summary and important conclusions drawn out of the study are presented
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