Link-based emission model for eco routing

Abstract

The tremendous growth of vehicles has led to severe problems for energy and the environment. More and more research work on eco driving has been made to devote the fuel efficient intelligent driving. This paper works on the eco routing, which is one of important aspects of eco driving, and which is to find some more eco-friendly routes for the driver in terms of minimum fuel consumption and vehicle emissions. The paper first abstracts six primary driving patterns from large amounts of real data which represent, respectively, the velocity, acceleration and engine stress of the vehicles driving on some links. And then, by associating the six driving patterns with some other properties of the links, like traffic congestion, etc., a link-based driving pattern classifier is established, which is applied to calculate and estimate the fuel emission characteristics for each relevant link. At the end of this paper, the effectiveness of the distance priority routes, time priority routes and eco routes are compared, the eco route one demonstrates its superiority.