Eco-Route: Recommending Economical Driving Routes For Plug-in Hybrid Electric Vehicles

06/25/2018
by   Yan Ding, et al.
0

High fuel consumption cost results in drivers' economic burden. Plug-In Hybrid Electric Vehicles (PHEVs) consume two fuel sources (i.e., gasoline and electricity energy sources) with floating prices. To reduce drivers' total fuel cost, recommending economical routes to them becomes one of the effective methods. In this paper, we present a novel economical path-planning framework called Eco-Route, which consists of two phases. In the first phase, we build a driving route cost model (DRCM) for each PHEV (and driver) under the energy management strategy, based on driving condition and vehicles' parameters. In the second phase, with the real-time traffic information collected via the mobile crowdsensing manner, we are able to estimate and compare the driving cost among the shortest and the fastest routes for a given PHEV, and then recommend the driver with the more economical one. We evaluate the two-phase framework using 8 different PHEVs simulated in Matlab/Simulink, and the real-world datasets consisting of the road network, POI and GPS trajectory data generated by 559 taxis in seven days in Beijing, China. Experimental results demonstrate that the proposed model achieves good accuracy, with a mean cost error of less 8 save about 9 case studies.

READ FULL TEXT

page 6

page 7

research
07/01/2019

A Formal Approach for Efficient Navigation Management of Hybrid Electric Vehicles on Long Trips

Plug-in Hybrid Electric Vehicles (PHEVs) are gaining popularity due to t...
research
09/08/2018

iDriveSense: Dynamic Route Planning Involving Roads Quality Information

Owing to the expeditious growth in the information and communication tec...
research
04/20/2020

Efficient Route Planning with Temporary Driving Bans, Road Closures, and Rated Parking Areas

We study the problem of planning routes in road networks when certain st...
research
04/10/2020

Data-Driven Prediction of Route-Level Energy Use for Mixed-Vehicle Transit Fleets

Due to increasing concerns about environmental impact, operating costs, ...
research
10/25/2015

Vehicle Speed Prediction using Deep Learning

Global optimization of the energy consumption of dual power source vehic...
research
11/28/2018

Energy Optimization of Automatic Hybrid Sailboat

Autonomous Surface Vehicles (ASVs) provide an effective way to actualize...

Please sign up or login with your details

Forgot password? Click here to reset