An improved vehicle-pedestrian near-crash identification method with a roadside LiDAR sensor.

Wu, Jianqing; Xu, Hao; Zhang, Yongsheng; Sun, Renjuan

Wu, Jianqing; Xu, Hao; Zhang, Yongsheng; Sun, Renjuan.

Affiliation

Wu J; School of Qilu Transportation, Shandong University, China.
Xu H; University of Nevada, Reno, Reno, NV 89557, United States.
Zhang Y; School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China. Electronic address: zys8303@gmail.com.
Sun R; School of Qilu Transportation, Shandong University, China.

J Safety Res ; 73: 211-224, 2020 06.

Article in En | MEDLINE | ID: mdl-32563396

Subject(s)

Accident Prevention/methods; Accidents, Traffic/statistics & numerical data; Automobile Driving/statistics & numerical data; Accident Prevention/instrumentation; Accidents, Traffic/prevention & control; Algorithms; Data Collection; Humans; Pedestrians/statistics & numerical data

Key words

Near-crash identification; Pedestrian safety; Roadside LiDAR

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Automobile Driving / Accidents, Traffic / Accident Prevention Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: J Safety Res Year: 2020 Document type: Article Affiliation country: China Country of publication: United States

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