Building a Smart Work Zone Using Roadside LiDAR

Darwesh, Amir; Wu, Dayong; Le, Minh; Saripalli, Srikanth

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Building a Smart Work Zone Using Roadside LiDAR

2021-01-01
By Darwesh, Amir ; Wu, Dayong ; Le, Minh

File Language:

English

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Creators:

Darwesh, Amir ; Wu, Dayong ; Le, Minh ; Saripalli, Srikanth
Corporate Creators:

Virginia Tech Transportation Institute ; Safety through Disruption (Safe-D) University Transportation Center (UTC)
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; Texas A&M University ; Texas A&M Transportation Institute
Subject/TRT Terms:
Resource Type:

Manuscript
Geographical Coverage:

United States
Corporate Publisher:

Safety through Disruption (Safe-D) University Transportation Center (UTC) ; Virginia Tech Transportation Institute
Abstract:

Work Zone (WZ) related injuries and fatalities from vehicular crashes are rising because of the increasing maintenance needs of the aging transportation infrastructure in the United States. Although many potential benefits from commercial WZ intrusion technologies have been recognized, they have not seen widespread adoption due to cost, simplicity, and limitations in their design to only provide post-intrusion alarms. Hence, there is significant interest and motivation in developing Smart Work Zone (SWZ) safety systems that predictively warn workers of vehicle intrusion threats with more accuracy and greater lead times. In this paper, we review the perception and alarm requirements and propose the emerging Light Detection and Ranging (LiDAR) as a suitable sensing component. Specifically, we analyze LiDAR resolution and frequency in the context of a WZ application, detail an initial vehicle detection and tracking algorithm running real-time between sensor updates, and provide annotated datasets for a stationary roadside LiDAR in highway / urban road environments.
Format:

PDF
Funding:

69A3551747115
Download URL:

https://rosap.ntl.bts.gov/view/dot/60121/dot_60121_DS1.pdf
File Type:

[PDF - 1.61 MB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha-512:83d75ec9c8d254944ab26af88897460aca45b7800a6f65bf9f37596ee60e1d51c290e8f69b06fddb74d5da2db24cbaaba106154a6811b19b3a508c6deec4ba1d

File Language:

English

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