[HTML][HTML] Modern data sources and techniques for analysis and forecast of road accidents: A review

C Gutierrez-Osorio, C Pedraza - Journal of traffic and transportation …, 2020 - Elsevier
Road accidents are one of the most relevant causes of injuries and death worldwide, and
therefore, they constitute a significant field of research on the use of advanced algorithms …

Safe route-finding: A review of literature and future directions

S Sohrabi, Y Weng, S Das, SG Paal - Accident Analysis & Prevention, 2022 - Elsevier
While road navigation systems seek to determine the shortest routes between a given set of
origin and destination points, there are certain situations in which the fastest route increases …

Real-time traffic accidents post-impact prediction: Based on crowdsourcing data

Y Lin, R Li - Accident Analysis & Prevention, 2020 - Elsevier
Traffic accident management is a critical issue for advanced intelligent traffic management.
The increasingly abundant crowdsourcing data and floating car data provide new support for …

Multi-crowdsourced data fusion for modeling link-level traffic resilience to adverse weather events

S Hu, K Wang, L Li, Y Zhao, Z He, Y Zhang - International Journal of …, 2024 - Elsevier
Climate change leads to more frequent and intense weather events, posing escalating risks
to road traffic. Crowdsourced data present new opportunities to monitor and investigate road …

[HTML][HTML] Deep learning ensemble model for the prediction of traffic accidents using social media data

C Gutierrez-Osorio, FA González, CA Pedraza - Computers, 2022 - mdpi.com
Traffic accidents are a major concern worldwide, since they have a significant impact on
people's safety, health, and well-being, and thus, they constitute an important field of …

Quality of location-based crowdsourced speed data on surface streets: A case study of Waze and Bluetooth speed data in Sevierville, TN

N Hoseinzadeh, Y Liu, LD Han, C Brakewood… - … Environment and Urban …, 2020 - Elsevier
Obtaining accurate speed and travel time information is a challenge for researchers,
geographers, and transportation agencies. In the past, traffic data were usually acquired and …

Anomaly detection and classification in traffic flow data from fluctuations in the flow–density relationship

K Kalair, C Connaughton - Transportation Research Part C: Emerging …, 2021 - Elsevier
We describe and validate a novel data-driven approach to the real time detection and
classification of traffic anomalies based on the identification of atypical fluctuations in the …

Spatiotemporal kernel density clustering for wide area near Real-Time pothole detection

Y Gu, Y Liu, D Liu, LD Han, X Jia - Advanced Engineering Informatics, 2024 - Elsevier
Identifying and fixing roadway potholes promptly can improve roadway safety and decrease
vehicular damage, which is essential in transportation infrastructure management …

Estimating impacts of recurring flooding on roadway networks: a Norfolk, Virginia case study

S Praharaj, TD Chen, FT Zahura, M Behl, JL Goodall - Natural hazards, 2021 - Springer
Climate change and sea level rise have increased the frequency and severity of flooding
events in coastal communities. This study quantifies transportation impacts of recurring …

Information management in the smart city

M Stone, J Knapper, G Evans, E Aravopoulou - The Bottom Line, 2018 - emerald.com
Purpose The purpose of this paper is to investigate information management in a smart city.
It identifies the main trends in progress and how innovation in information technology is …