Published Paper Details:

Pedestrian delay is one of the concerning or related topics to pedestrian behavior at signalized intersections. When people try to cross the road, they may maintain the traffic signal and may not follow for some reasons. Those are there is a chance may be more crowded while crossing the road or maybe they are using mobile phones or maybe they are carrying more language with them. So, these all are having the chance of pedestrian delay. But the main problem is when serious accidents happen due to the delay of pedestrians, at that time, it is required to identify whose mistake it is and the reason behind that. Apart from that to reduce the crossing time or to save time, people sometimes do not follow the traffic signals also and this one more observed in teenagers. The majority of delays were decreased by those who started crossing during the flashing Don't Walk phase, even though only a minor portion of delays were reduced by beginning to cross when the signal was formally red. Compared to the number of people who would have arrived at the curb at the same time if arrivals were random, fewer pedestrians approached crosswalks during the flashing Don't Walk phases. Some pedestrians are expected to move quickly to enter during the flashing Don't Walk phase instead of waiting for the next Walk time. To provide a more accurate evaluation of pedestrian delay at signalized crossings, a delay equation was updated. Here the author created a model which can analyze pedestrian behavior and calculate the delay time based on the behavior of the pedestrian by using deep learning and open CV techniques. For that, the author collected the data through different live video footage of pedestrians from different sites and locations. Here the author focuses more on the school and bus station zones because these areas have more chances to delay due to the language carriage, college or university zones, and many more.