An Automated Software-Agents System for Detecting Road Speed Limit Offences

Abstract

According to the statistical report of the Association of Safe International Road Travel (ASIRT), fatal road accidents are increasing because of fast driving. Many types of speed traps and cameras were installed by the road police departments at some parts of the roads trying to reduce the problem. Many drivers know where those cameras and speed traps are, so they reduce their speed when they are within the coverage of those cameras then, go back up to their previous speed again. This research proposes a system for smart cities or highways to control the problem via the placement of a set of Vehicular Ad-Hoc Network (VANET) devices on the roadside and within the vehicles to achieve side to side communication. The provided communication would be responsible for delivering real time information about the car, including its speed, which would help to detect the speeding offenders. By conducting this research, it is expected to identify the factors causing the accidents to happen, warn the speeding drivers at any time about their offence and to ensure a fine will be issued for every offender. In addition, the proposed system is expected to help traffic policemen in doing their job of identifying and proving that a driver has broken the road driving rules.