Optimization of Routes for Vehicles on Google Map |
Author(s): |
Pooja , G.H.R.C.E, Nagpur; Dr. L. G. Malik, G.H.R.C.E, Nagpur |
Keywords: |
ant colony optimization, proper scheduling, particle swarm optimization , route optimization |
Abstract |
There are many schools, colleges and industries which provide transportation facilities to their students and employees residing at various places in a city. Also there are many state transport services which provide transportation service facilities to middle class citizens at affordable rates. Nowadays fuel prices are rising day by day, due to which the cost of running vehicles is increasing and the profit margin is decreasing. Thus it is becoming difficult to run a transportation business for schools, colleges and state governments etc. Hence it is required to reduce vehicle running cost in order to make it favourable for both the passengers and transportation service providers. For achieving this goal, we have to run the vehicles on such an optimal route which covers more passengers in less time and less distance. The route optimization for vehicles in any area of work is an important need in order to reduce cost as well as time. Here Google map of Hingna road, Nagpur is taken as a reference and imported from website of open street map on SUMO simulator. Then for the purpose of optimization of routes and providing proper scheduling of vehicles ACO and PSO algorithms are implemented on the taken Google map. |
Other Details |
Paper ID: IJSRDV4I21427 Published in: Volume : 4, Issue : 2 Publication Date: 01/05/2016 Page(s): 1150-1153 |
Article Preview |
|
|