Abstract
Ride-sharing can reduce the greenhouse gas emission in noncommercial passenger highway vehicles by grouping individuals into fewer vehicles and reducing the number of miles that vehicles must travel. In this paper, we first present an integer programming model to maximize the system greenhouse gas emission savings for the dynamic ride-sharing system. Then adopt the existed optimization methods and simulation environment to estimate the potential greenhouse gas emission savings that could result from an increase in ride-sharing. Finally, we firstly calculate the total emission savings for the given simulation environment. From our analysis, we can draw a conclusion that the system greenhouse gas emission savings come from two aspects, firstly, the total vehicle travel miles will be shorten through participating the ride-sharing system, thus the emissions will be largely reduced. Secondly, the different travel speeds result in different emission rates, while the ride-sharing systems can ease the traffic congestion, which is relate to the travel speed of vehicles, there are emission savings with the speed increase.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
