EARLY DETECTION OF INCIDENT USING VEHICULAR AD-HOC NETWORK

This thesis presents an approach for incident detection and management in
Vehicular ad-hoc network (VANET). The study of incident detection has become one
of the challenging subjects in VANET due to high speed communications with
unpredictable vehicle network topology changes. Hence, incident detection and
management is required to address this challenge. The new approach incident
detection and management,known as early detection of incident (EDI) which aims at
responding quickly to detection of incident and maintaining its connectivity to
internet, is presented in this thesis. Early Detection of incident (EDI) extends the
functionality of the existing Automatic Incident Detection (AID) which does not
utilize the vehicular ad-hoc network resources optimally and cannot integrate with the
internet arising end user information about incident detection and management. The
early detection of incident has three distinct aspects compared to the existing
techniques such as AID, NOTICE, and Distributed Automated Incident Detection
with Vgrid.