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Title:

Travel Time Observation in Privacy Ensured Connected Vehicle Environment Using Partial Vehicle Trajectories and Extended Tardity

Accession Number:

01558182

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Connected vehicle technology is quickly developing as a substantial technology for future traffic monitoring and data collection. Unlike data provided by the traditional resources and traffic sensors, vehicle trajectories collected from connected vehicles include detailed spatial, temporal and operational characteristic. Once this data is available, a more complete understanding of traffic flow will be observable and performance based applications will positively impact the transportation system. Privacy concerns require that personal information be protected and connected vehicle applications operate without misuse of the available information. In this paper, a methodology is developed to both avoid violating the privacy of the road users and provide travel time estimation of the vehicles even when the vehicle IDs are changed. To accomplish this, an Extended Tardity (ET) function is proposed that utilizes trajectory fragments of the ID-changing vehicles. The methodology is tested using Software-in-the-Loop (SIL) simulation data built based on the Arizona Connected Vehicle Test Bed in Anthem, AZ. Case studies are conducted at three different levels including Link-level, Intersection-level, and Section-level under various traffic conditions and market penetration rates. The results show that the model is not sensitive to the penetration rate of the vehicles. The proposed method can be applied under low penetration rate situations while protecting the privacy of road users.

Supplemental Notes:

This paper was sponsored by TRB committee AHB15 Intelligent Transportation Systems.

Monograph Accession #:

01550057

Report/Paper Numbers:

15-5011

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Khoshmagham, Shayan
Feng, Yiheng
Zamanipour, Mehdi
Head, K Larry

Pagination:

15p

Publication Date:

2015

Conference:

Transportation Research Board 94th Annual Meeting

Location: Washington DC, United States
Date: 2015-1-11 to 2015-1-15
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control

Source Data:

Transportation Research Board Annual Meeting 2015 Paper #15-5011

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 1:41PM