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Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network.
Zhang, Shile; Abdel-Aty, Mohamed; Cai, Qing; Li, Pei; Ugan, Jorge.
Affiliation
  • Zhang S; Department of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, FL 32816, USA. Electronic address: shirleyzhang@Knights.ucf.edu.
  • Abdel-Aty M; Department of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, FL 32816, USA.
  • Cai Q; Department of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, FL 32816, USA.
  • Li P; Department of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, FL 32816, USA.
  • Ugan J; Department of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, FL 32816, USA.
Accid Anal Prev ; 148: 105799, 2020 Dec.
Article in En | MEDLINE | ID: mdl-33080377
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Accidents, Traffic / Neural Networks, Computer / Pedestrians Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Accid Anal Prev Year: 2020 Document type: Article Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Accidents, Traffic / Neural Networks, Computer / Pedestrians Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Accid Anal Prev Year: 2020 Document type: Article Country of publication: