Roadway intersections are crash-prone locations and, hence, ensuring the safety of road users at has been a major concern for transportation professionals. It is critical to identify risk factors that contribute severe crashes implement appropriate countermeasures. Greater emphasis needed on two-vehicle since they represent majority intersection crashes. In this study, random parameter ordinal ...

Background: Generally, Chennai is a hub of traffic congestion, where the major roads city are filled with vehicle. It gives challenging situation to road and management officials control regulate existing facilities. Objectives: This paper deals microscopic simulation network model which helps in evaluating performance Thirumangalam intersection such as delay, queue length also evaluate underst...

The research shows that over 90% of all accidents are due to human error. Automated vehicle technologies hold the promise decreasing number accidents. However, complex and usually there is a chain events leading up an accident. For example, take signalized intersection, where pedestrian enters crosswalk against red light when traffic turns green for vehicles. Vehicle A (across intersection) det...

We study how to estimate real time queue lengths at signalized intersections using intersection travel times collected from mobile traffic sensors. The estimation is based on the observation that critical pattern changes of intersection travel times or delays, such as the discontinuities (i.e., sudden and dramatic increases in travel times) and non-smoothness (i.e., changes of slopes of travel ...