A framework for early detection of incident in dense traffic using vehicular ad-hoc networks

VANETs provide the ability for vehicles to spontaneously and wirelessly network with other vehicles nearby for the purposes of providing travelers with new features and applications. Dense Traffic has become major issue at rush-hours traffic in big cities where congested roads cost over billions in lost worker productivity and over billions gallons of fuel due to traffic incidents. We dispense and prosper a framework for early detection of incident in dense traffic using vehicular ad-hoc networks. We proposed incident detection techniques in dense traffic where Incident Detections Node (IDN) collect On-Board Unit (OBU) data directly from passing vehicles and perform some analysis to detect possible incidents and to be integrate with the Internet. IDN may be used for the advertisement of self-fund generation. These things are good for traffic management can take a proactive role in managing alternative routes to avoid the accident. Therefore, early detection of incident in dense traffic would provide better management of traffic flow.