Capacity Estimation of Indian Multilane Highway by Calibrating Driver’s Behavior Parameters

The heterogeneous traffic conditions with non-lane-based traffic flow can be best evaluated by simulation of traffic. The present study uses VISSIM to simulate the mixed traffic of Indian multilane highways as it is a time increment-based multimodal simulation software. The psycho-physical behavior of drivers is considered in the present study because the driver performs an action when a threshold is reached to its boundary and is expressed as the function of speed differences and distances between the vehicles. The calibration by several dimensions is done on car-following model that has been modified by Wiedemann in VISSIM. The driver of a vehicle in VISSIM considers the leading vehicles and vehicles on adjoining lanes. Thus, hysteresis plots of relative speed against relative distance are made for aggregated leader and follower vehicles based on follower vehicular category to get the calibrated coefficient of correlation parameters (CC) used in VISSIM. A new simulation model with calibrated CC parameters is made to get a more realistic capacity estimate of multilane highway in Indian conditions.