Greenhouse Gas Emission Savings with Dynamic Ride-sharing

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.