Tracking traffic congestion and accidents using social media data: A case study of Shanghai-Reference-Cited by-同舟云学术

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Tracking traffic congestion and accidents using social media data: A case study of Shanghai

Published:2022-05 Issue: Volume:169 Page:106618
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Chang Haoliang,Li Lishuai,Huang Jianxiang,Zhang Qingpeng,Chin Kwai-Sang

Funder

Research Grants Council, University Grants Committee

General Research Fund of Shanghai Normal University

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference57 articles.

1. Mapping road traffic crash hotspots using GIS-based methods: A case study of Muscat Governorate in the Sultanate of Oman;Al-Aamri;Spat. Stat.,2021

2. Traffic accident detection and condition analysis based on social networking data;Ali;Accid. Anal. Prev.,2021

3. Fuzzy ontology and LSTM-based text mining: A transportation network monitoring system for assisting travel;Ali;Sensors (Switzerland),2019

4. Transportation sentiment analysis using word embedding and ontology-based topic modeling;Ali;Knowledge-Based Syst.,2019

5. Fuzzy ontology-based sentiment analysis of transportation and city feature reviews for safe traveling;Ali;Transp. Res. Part C Emerg. Technol.,2017

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