01657457

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The recent advent of connected vehicles (CV) introduces great opportunities of intelligent transportation system (ITS) applications for safer, smarter, and greener transportation using dedicated wireless communication technology. Although communication devices and applications for CV are currently under deployment, CV applications are still limited without detection of non-connected road users. The authors have developed a data processing procedure to extract high-resolution trajectories of non-connected vehicles from road-side light detection and ranging (LiDAR) sensors to fill the data gap of existing connected-vehicle systems. While the data processing procedure was introduced in other papers, this paper proposes a communication framework that integrates the dedicated short-range communications (DSRC) and Bluetooth communication to broadcast/receive high-resolution trajectory data from roadside LiDAR. The communication system was optimized based on packet delay and packet-dropping probability in the DSRC/Bluetooth network. An onboard pilot system was built to test the effectiveness of receiving the roadside LiDAR data through DSRC and Bluetooth. The pilot system was tested and evaluated at a field intersection in Reno, Nevada. Testing results demonstrate that by choosing the optimal packet interval for DSRC and Bluetooth connection, the proposed CV communication framework is effective in broadcasting/receiving trajectories extracted from roadside LiDAR.

This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems. Alternate title: Design and Implementation of the DSRC Bluetooth Communication and Mobile Application with Lidar Sensor

18-00691

English

18p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; Photos; References; Tables

Bluetooth technology; Connected vehicles; Data communications; Dedicated short range communications; Field tests; Intelligent transportation systems; Intelligent vehicles; Laser radar; Pilot studies; Traffic data; Vehicle to infrastructure communications

Reno (Nevada)

Data and Information Technology; Highways; Planning and Forecasting; Vehicles and Equipment

Transportation Research Board Annual Meeting 2018 Paper #18-00691

TRIS, TRB, ATRI

Jan 8 2018 10:10AM