An approach for monitoring pedestrian by using multi-connect architected MCA associative memory

The unnecessary long cross road waiting times for pedestrians is due to the inefficient traffic light system configuration and has led to the increasing number of traffic accidents involving pedestrians. This research designs, develops, constructs and tests the pedestrian monitoring approach to elevate the efficiency of traffic lights system configuration. This approach consists of two phases which are the learning and monitoring phase. The monitoring phase involves the use of a single video camera to each street in the intersection. The experiments have shown an increase in the traffic light system configuration as well as the rapid adaptability of the proposed monitoring approach to the environment.