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[HTML][HTML] Modern data sources and techniques for analysis and forecast of road accidents: A review
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 …
therefore, they constitute a significant field of research on the use of advanced algorithms …
Safe route-finding: A review of literature and future directions
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
Identifying and fixing roadway potholes promptly can improve roadway safety and decrease
vehicular damage, which is essential in transportation infrastructure management …
vehicular damage, which is essential in transportation infrastructure management …
Estimating impacts of recurring flooding on roadway networks: a Norfolk, Virginia case study
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 …
events in coastal communities. This study quantifies transportation impacts of recurring …
Information management in the smart city
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 …
It identifies the main trends in progress and how innovation in information technology is …