Computing optimum number of CCTV cameras for real-time traffic signal control system

Abstract

Real time traffic light control system can be implemented through the use of CCTV cameras. These cameras will be used to input the traffic load on the junction. The main object is to adjust, in real times, signal timings in response to variation in traffic demand and system capacity. Now, the problem arises if it is mandatory to install the CCTV cameras at every node or junction or the system can be adapted to follow the modified approach wherein, the optimum number of nodes will be computed where the CCTVs can be installed and using the collected data and the information from these nodes, information can be generated for the nodes also where CCTVs have not been installed. So the system will be cost-effective and still the benefits of the system can be gained. Weighted graph for the traffic network in an urban city has been developed. As a case study on some part of Jaipur city in GIS environment of ArcView using Avenue scripting has been considered. The study has been carried out to determine the different ways of installing the CCTV cameras: · Full installation: The CCTV cameras are to be installed at every junction. The total number of intersection points in the graph model would provide the required output. · Partial installation: The points of CCTV cameras will be selected according to different heuristics. · Optimum Installation: The optimum number ofCCTV cameras to control the whole network are computed. To make the installation cost-effective, an optimum number of CCTVs is calculated for installing CCTV at some junctions. Some of the junctions will work without CCTV, however, using the collected data and information from these junctions, where CCTVs are installed, information can be generated for the junctions, where CCTVs are not provided.