Usually, route choice is performed considering a single objective like considering a single object among travel time, emission, and travel distance. In this article, a methodology has been developed to find the eco-friendly route considering multi-objective-travel time, emission and travel distance. Pareto optimality and weighted product model are used for multi-objective optimization and route choice is done by Dijkstra’s shortest path algorithm. Simulation software, AIMSUN is used to perform micro-simulation for collecting second by second vehicle speed and acceleration profile. Vehicle Specific Power (VSP) model is used to estimate emission. Emission at the traffic network can be significantly reduced by using the vehicle to vehicle communication. Using the V2V communication system, CO2, NOx, CO, HC can be reduced up to 5.34%, 9.57%, 25.84%, and 3.67% respectively in route choice considering budget travel time and travel distance. The difference in route choice pattern has also found considering without and with V2V communication.
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 Pearson, R. L., Wachtel, H. & Ebi, K. L. (2000). Distance-weighted traffic density in proximity to a home is a risk factor for leukemia and other childhood cancers. Journal of the Air & Waste Manage Association, 50(20), 175-180.
 U.S. Energy Information Administration (2009). Annual Energy Review, DOE/EIA, 384, Washington, DC.
 Fontes, T., Pereira, S. R., Fernandes, P, Bandeira, J. M. & Coelho, M. C. (2015). How to combine different microsimulation tools to assess the environmental impacts of road traffic? Lessons and direction. Transport Research Part D: transport and environment, 33, 293-306.
 Smith, R., ntziachristos, L. & Boulter, P. (2010). Validation of road vehicle and traffic emission models-a review and meta-analysis. Atmospheric Environment, 44(25), 2943-2953.
 Stevanovic, A., Stevanovic, J., Zhang, K. & Batterman, S. (2009). Optimizing traffic control to reduce fuel consumption and vehicular emission: Integrated approach with VISSIM, CMEM and VISGAOST. Transportation Research Record: Journal of the Transportation Research Board, 105.
 Frey, H. C., Zhang K. & Rouphail N. M. (2008). Fuel use and emissions comparisons for alternative routes time of day, road grade and vehicles based on in-use measurements. Environmental Science & Technology, 42(7), 2483-2489.
 Ahn, K. & Rakha, H. (2008). The effects of route choice decisions on vehicle energy consumption and emissions. Transportation Research Part D: transport and environment, 133: 151-167.
 Jimenez-Palacios, J. (1999). Understanding and quantifying motor vehicle emissions with vehicle specific power and TILDAS remote sensing. Doctoral Dissertation, Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA.