Project

Optimizing traffic flow based on vehicle count

Project (M.S., Electrical and Electronic Engineering)--California State University, Sacramento, 2017.

One method to build an intelligent traffic control system is based on the estimation of traffic density using real-time video and image processing techniques. The idea is to control the traffic by determining the density on each side of the road and controlling the signal based on the density information. This project introduces an algorithm to determine the number of vehicles on each lane. The vehicle density can be compared with other directions in order to control the traffic signal and minimize the stop and wait time at intersections.

One method to build an intelligent traffic control system is based on the estimation of traffic density using real-time video and image processing techniques. The idea is to control the traffic by determining the density on each side of the road and controlling the signal based on the density information. This project introduces an algorithm to determine the number of vehicles on each lane. The vehicle density can be compared with other directions in order to control the traffic signal and minimize the stop and wait time at intersections.

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