Series Info:International Journal of Computer Applications;Volume: 60 Issue: 2 Pages: 6-16
Type:Article
Keywords:October University for University of Route Planning, Optimization, Congestion avoidance, Traffic Jam, Road Network, Ontology
Abstract:
Traffic jams and congestions have bad effects on drivers
and the whole community. Most – if not all – route planning
systems focus on finding the optimal/fastest route for its
users. Users might be advised to pass through a congested
road section if it will take less time to traverse than its alternatives. This approach ignores the negative effects of
congestion on both of the individual and the whole community. Instead of focusing on giving each user the fastest
route to his destination, this papers aims to develop a model
that would be optimal to the whole community. The ultimate objective of the OnTraJaCS is to give all registered
vehicles route recommendations that would minimize congestions when they are executed simultaneously. This is
achieved by minimizing congestion over the whole map
even if some trips will take longer path in order to avoid
congestion formation. OnTraJaCS uses Web Ontology to
detect and predict congestion and it uses Java to simulate
and evaluate possible plans. Simulation results proved that
the OnTraJaCS is able to find optimal plans in accordance
with the desired criteria and hence fulfilling its objective,
with a slight increase in average trip time.