01657491

Component

A significant challenge for connected-vehicle technology is obtaining the continuous speed and location of unconnected vehicles in a mix-traffic condition (both unconnected and connected vehicles are present on the roadway) as no communication to unconnected vehicles. Existing traffic infrastructures and sensors on roads cannot offer the required high-quality data for connected vehicle applications. This paper presents a novel method for tracking all vehicles on the road using roadside LiDAR sensors. A series of methodologies for processing LiDAR data are introduced in this article. The data processing procedure includes background filtering, lane identification, and vehicle tracking. This method can automatically extract the real-time number, location and speed information of each vehicle from LiDAR data. The effectiveness of this technique has been evaluated using roadside LiDAR data through from two field tests.

This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems. Alternate title: An Automatic Procedure for Vehicle Tracking with a Roadside Lidar Sensor

18-02299

English

17p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; Photos; References; Tables

Automatic vehicle detection and identification systems; Connected vehicles; Data collection; Data processing operations; Field tests; Laser radar; Sensors; Traffic data; Vehicle detectors; Vehicle mix; Vehicle to infrastructure communications

Data and Information Technology; Highways; Vehicles and Equipment

Transportation Research Board Annual Meeting 2018 Paper #18-02299

TRIS, TRB, ATRI

Jan 8 2018 10:33AM