Impact of V2V Communication on Eco-Route Choice
Rahman Faysal Ibna ()
Additional contact information
Rahman Faysal Ibna: University of Yamanashi, Department of Civil and Environmental Engineering, 4-4-37 Takeda, Kofu, Japan
LOGI – Scientific Journal on Transport and Logistics, 2020, vol. 11, issue 1, 37-45
Abstract:
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.
Keywords: Eco-route; optimization; V2V; travel time; travel distance (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.2478/logi-2020-0004 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vrs:logitl:v:11:y:2020:i:1:p:37-45:n:4
DOI: 10.2478/logi-2020-0004
Access Statistics for this article
LOGI – Scientific Journal on Transport and Logistics is currently edited by Rudolf Kampf
More articles in LOGI – Scientific Journal on Transport and Logistics from Sciendo
Bibliographic data for series maintained by Peter Golla ().