Estimating Energy Efficiency of Connected and Autonomous Vehicles in a Mixed Fleet

Dong, Jing; Lu, Chaoru; Hu, Liang; Iowa State University. Center for Transportation Research and Education

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Estimating Energy Efficiency of Connected and Autonomous Vehicles in a Mixed Fleet

2018-05-01
By Dong, Jing ; Lu, Chaoru ; Hu, Liang

[PDF-1.19 MB]

English

Details Supporting Files You May Also Like

Details:

Creators:

Dong, Jing ; Lu, Chaoru ; Hu, Liang

Dong, Jing ; Lu, Chaoru ; Hu, Liang Less -
Corporate Creators:

Iowa State University. Center for Transportation Research and Education
Corporate Contributors:

Midwest Transportation Center ; United States. Dept. of Transportation. Office of the Assistant Secretary for Research and Technology ; Iowa. Highway Research Board

Midwest Transportation Center ; United States. Dept. of Transportation. Office of the Assistant Secretary for Research and Technology ; Iowa. Highway Research Board Less -
Subject/TRT Terms:

[+]

Advanced Vehicle Control Systems Autonomous Intelligent Cruise Control Battery Electric Vehicles Connected And Autonomous Vehicles Ecological Adaptive Cruise Control Economic Efficiency Electric Vehicles Energy Consumption Energy Consumption Models Energy Efficiency Fuel Cell Vehicles Hybrid Vehicles Intelligent Vehicles Plug-in Hybrid Vehicles
Publication/ Report Number:

IHRB Project TR-708D
Resource Type:

Tech Report
Geographical Coverage:

Iowa
Corporate Publisher:

University of Iowa. Center for Transportation Research and Education
NTL Classification:

NTL-ENERGY AND ENVIRONMENT-ENERGY AND ENVIRONMENT;NTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMS;
Abstract:

Jing Dong (orcid.org/0000-0002-7304-8430); Liang Hu (orcid.org/0000-0001-6351-8542); Chaoru Lu (orcid.org/0000-0001-8418-7658); Connected and autonomous vehicle (CAV) technologies are likely to be gradually implemented over time and in a traffic environment consisting of a significant share of alternative fuel vehicles, such as flexible-fuel, plug-in electric, and fuel cell vehicles. This work proposes the use of rule-based ecological adaptive cruise control strategies—the ecological smart driver model (Eco-SDM) for gasoline CAVs and the energy-efficient electric driving model (E3DM) for electric CAVs (e-CAVs)—to improve the energy efficiency of individual vehicles and traffic flow. By adjusting the spacing between the leading and the following vehicles, the Eco-SDM provides smoother deceleration and acceleration than the adaptive cruise control strategies based on intelligent driver model-adaptive cruise control (IDM-ACC) and the Nissan model (Nissan-ACC). The E3DM is able to maintain high energy efficiency of regenerative braking by adjusting the spacing between the leading and the following vehicles.
Format:

PDF
Funding:

DTRT13-G-UTC37
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:cf6d94d29a986277d17da945387e02f95f3a639bacf19f8bacc6785865a43361
Download URL:

https://rosap.ntl.bts.gov/view/dot/36110/dot_36110_DS1.pdf
File Type:

mixed_fleet_energy_efficiency_t2.pdf

pdf

More +