A New Spatio-Temporal Neural Network Approach for Traffic Accident Forecasting-Reference-Cited by-同舟云学术

A New Spatio-Temporal Neural Network Approach for Traffic Accident Forecasting

Published:2021-06-17 Issue:10 Volume:35 Page:782-801
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

de Medrano Rodrigo¹^ORCID,Aznarte José L.¹

Affiliation:

1. Artificial Intelligence Department, Universidad Nacional de Educación a Distancia — UNED, Madrid, Spain

Funder

Empresa Municipal de Transportes

Aula Universitaria EMT/UNED de Calidad del Aire y Movilidad Sostenible

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.1935588

Reference42 articles.

1. Modeling traffic accident occurrence and involvement

2. Analysis and Forecast of Traffic Accident Big Data

3. Chen, Q., X. Song, H. Yamada, and R. Shibasaki. 2016. Learning deep representation from big and heterogeneous data for traffic accident inference. In AAAI: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence. Phoenix, USA.

4. XGBoost

5. Artificial Driving Intelligence and Moral Agency: Examining the Decision Ontology of Unavoidable Road Traffic Accidents through the Prism of the Trolley Dilemma

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