Road accidents are the main leading cause of death, and more than half of people killed in
road accidents are motorcyclists, pedestrians, and bicyclists. In develo** countries, the …

Deep Reinforcement Learning (DRL) has made remarkable progress in autonomous vehicle
decision-making and execution control to improve traffic performance. This paper introduces …

The Bureau of Public Roads (BPR) function is a widely used link cost function in
transportation planning because of its simple mathematical form, easily measurable field …

Examining driving behaviour is crucial for traffic operations because of its influence on driver
safety and the potential for increased risk of accidents, injuries, and fatalities. Approximately …

Traffic flow and travel time-based measures are used to quantify and characterize
congestion levels on urban roadway networks. However, under low-density conditions …

This study aims to model traffic flow under weak lane based heterogonous (mixed) traffic
conditions. Unlike homogeneous traffic, when a follower (subject) vehicle in mixed traffic …

The heterogeneity of vehicle types and their lane-free movement are the unique
characteristics of mixed traffic conditions. Modelling and controlling such a traffic system is …

In mixed traffic condition, varying vehicle dimensions and lack of lane discipline lead to
parallel movement of vehicles in the same lane or between lanes. This results in a condition …

Present study evaluates the various congestion indexes in terms of speed performance
index, volume to capacity ratio and congestion index based on travel time on the urban …

In mixed traffic condition, vehicles with varying static and dynamic characteristics share the
same road space. The smaller vehicles frequently try to manoeuvre through the gaps …