A Study on Gap Acceptance between Vehicles and Pedestrians at Signalized and Unsignalized Zebra Crossings under the Hyderabad Metro Rail Route

Abstract

The research is the pedestrian behavior of signalized and unsignalized behavior of Gap acceptance. Today’s generation of pedestrian behavior the gap between the vehicle and pedestrian to find the insights of the speed head and time head between the gap acceptance to cross the road, while walking on the zebra with traffic signalized and unsignalized lights. The author is determined about the aim of this research identification and analyzing pedestrian behavior when the person is crossing behavior on the face detector, expressions, etc. The author researched the gap in acceptance of pedestrians when the person can cross the road, or not. They measured the pedestrian’s behavior of signalized and unsignalized on the road. There is a chance to find out the distance between the vehicle and pedestrian with the traffic signalized is safer for them. But with unsignalized traffic signals were fewer chances to find and measure the distance between them, it is hazardous because sometimes, there are sudden happen accidents for pedestrians. The researcher has used the deep learning method as CNN, and the Open CV platform for the detection of pedestrian behavior of acceptancy of Gap. Here, the author has used real-time video recorder data for the analysis of the vehicles and pedestrians’ distance between the gap acceptance. With the signalized and unsignalized behavior of pedestrians while gap acceptance of the time head and speed head will be analyzed the person will zebra cross the road or not for the acceptance of gap for the pedestrians while making a decision based on their destination to be reached.