Benefit

Connected eco-driving for drayage operations on signalized networks can reduce diesel truck energy consumption by 4.4 to 8.1 percent.

Testing of connected Eco-Approach and Departure (EAD) algorithm.


1/13/2018


Summary Information

To improve the energy efficiency of diesel trucks conducting drayage operations a connected Eco-Approach and Departure (EAD) system was developed to limit unnecessary idling or speed fluctuation as trucks approach and pass through intersections.

The proposed system included two models: a powertrain model designed to simulate performance of a truck diesel engine and 6-speed transmission as regulated by an on-board electronic control unit (ECU), and a trajectory planning model designed to use SPaT messages and roadway trajectory information to determine the most fuel efficient route based on an assessment of intersection arrival times and power train energy consumption required for drayage operations.

METHODOLOGY

A shortest path equation and data set reflecting truck performance in drayage traction mode were used to generate an engine fuel consumption map and estimate energy consumption. Simulations emulated performance at pre-timed signalized intersections with varying entry times and speeds.

FINDINGS

The average energy saved compared to a baseline condition was 7.1 percent for level terrain, 4.4 percent for uphill terrain, and 8.1 percent for the downhill case.

Benefit Comments

No comments posted to date

Comment on this Benefit

To comment on this summary, fill in the information below and click on submit. An asterisk (*) indicates a required field. Your name and email address, if provided, will not be posted, but are to contact you, if needed to clarify your comments.



Source

Connected Eco-Approach and Departure (EAD) System for Diesel Trucks

Author: Hao, Peng; Kanok Boriboonsomsin; and Chao Wang

Published By: Transportation Research Board (TRB) 98th Annual Meeting

Source Date: 1/13/2018


Rating

Average User Rating

0 ( ratings)

Rate this Benefit

(click stars to rate)


Benefit ID: 2018-01325