Improving the Efficiency of Trucks via CV2X Connectivity on Highways

Wang, Hao; Orosz, Gabor; University of Michigan, Ann Arbor; Center for Connected and Automated Transportation (CCAT)

doi:10.7302/21946

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

Improving the Efficiency of Trucks via CV2X Connectivity on Highways

2024-01-01
By Wang, Hao ; Orosz, Gabor

[PDF-8.51 MB]

Select the Download button to view the document

This document is over 5mb in size and cannot be previewed

English

Details You May Also Like

Details:

Creators:

Wang, Hao ; Orosz, Gabor

Wang, Hao ; Orosz, Gabor Less -
Corporate Creators:

University of Michigan, Ann Arbor ; Center for Connected and Automated Transportation (CCAT)

University of Michigan, Ann Arbor ; Center for Connected and Automated Transportation (CCAT) Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Autonomous Land Vehicles Autonomous Vehicles Cellular Vehicle-to-everything Communication Connected Vehicles Corridors Heavy Duty Trucks Roadside Traffic Control Traffic Prediction Travel Time
Publication/ Report Number:

CCAT Final Report No. 20
DOI:

https://dx.doi.org/10.7302/21946
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report
Corporate Publisher:

University of Michigan. Center for Connected and Automated Transportation
Abstract:

Intelligent road infrastructure consisting of sensors and communications is needed to deploy connected and automated vehicles (CAVs) on real highways. Such infrastructure can support the operation of CAVs (e.g., maneuver coordination and onboard energy management), and bridge the connectivity gap resulting from the currently low penetration of connected vehicles and the limited range of vehicle-to-vehicle communication. Moreover, it also allows us to build high-efficiency transportation systems, leading to societal benefits such as emission reduction, energy efficiency improvement, and productivity increase. In this project, we deploy cellular vehicle-to-everything (CV2X) infrastructure along the highway I-275, which consists of roadside units (RSUs), a server managed by the University of Michigan, and communications between them. The RSUs collect traffic information from the downstream vehicles on highway via a custom V2X communication message called traffic history message (THM). The received THMs are transferred via the RSUs’ LTE Internet to the university server for real-time processing. The processed information is then sent to the upstream RSUs and broadcast to vehicles nearby via another custom V2X message called traffic prediction message (TPM). This allows the upstream vehicles to predict the traffic ahead and plan their motions accordingly. This way, traffic prediction and control can be achieved. We conduct experiments on highway I-275 using the installed RSUs and the designed messages with real vehicles. We demonstrate the effectiveness of the infrastructure-supported traffic prediction tailored to the needs of automated vehicles.
Format:

PDF
Funding:

69A3551747105
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:26a46fda997ecd2b14ee12c3499bd3553fa997b0b78a1caa7643dd2b5c48b2ca
Download URL:

https://rosap.ntl.bts.gov/view/dot/73020/dot_73020_DS1.pdf
File Type:

No Additional Files

More +

Improving the Efficiency of Trucks via CV2X Connectivity on Highways

Details:

Supporting Files

You May Also Like