Route and Speed Co-optimization for Improving Energy Consumption of Connected Vehicles

Real-time vehicle route and speed co-optimization play a vital role in improving its energy consumption with rapidly shifting traffic and environmental conditions (e.g., traffic jams, temperature, gust wind, etc.). In this article, a novel vehicle eco motion planning (VEMP) method is proposed to opt...

Full description

Saved in:
Bibliographic Details
Published in:IEEE/ASME transactions on mechatronics 2024-08, Vol.29 (4), p.2830-2838
Main Authors: Hua, Lingyun, Dourra, Hussein, Zhu, Guoming G.
Format: Article
Language:English
Subjects:
Connected vehicles
Costs
Dijkstra algorithm
Dijkstra's algorithm
Driving
Energy consumption
energy economy
gradient optimization
Mathematical models
Matlab
Motion planning
Optimization
Planning
Real time
Real-time systems
route-speed optimization
Speed limits
Traffic congestion
Traffic information
Traffic jams
Traffic models
Traffic speed
Travel time
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Real-time vehicle route and speed co-optimization play a vital role in improving its energy consumption with rapidly shifting traffic and environmental conditions (e.g., traffic jams, temperature, gust wind, etc.). In this article, a novel vehicle eco motion planning (VEMP) method is proposed to optimize the vehicle route and speed simultaneously for minimizing its energy usage with a given origin-destination pair and a travel time limit. The proposed VEMP method is based on the modified Dijkstra algorithm and gradient descent speed optimization to find and update the optimal route and corresponding speed profile in real-time based on changing traffic and driving environment information. Cosimulation studies are conducted for the developed VEMP method in MATLAB with the SUMO traffic model using a real-world map. The simulation results show that for the studied driving environment, the speed optimization in the VEMP method is able to reduce the energy usage by 2.27% over the case of only using speed limits on a fixed route, and the VEMP can reduce the total energy consumption by 23.83% over the fastest route created by the Dijkstra algorithm. The simulation of a sudden traffic jam demonstrates the ability of real-time updating for the proposed VEMP method to handle sudden traffic situations such as vehicle cut-in.
ISSN:1083-4435
1941-014X
DOI:10.1109/TMECH.2024.3399019