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Open access
Aug 2026
Spatiotemporal Data Analysis of Urban Traffic Systems: Understanding Operational Patterns and Inferring Future States
A logic-oriented analysis of urban traffic spatiotemporal data examines three temporal evolution characteristics: periodicity, trend, and abrupt change and extracts a logical framework for traffic condition prediction.
Shuohan Xu
· Applied and Computational En... · 0 citations
Conference
Open access
Sep 2026
Short-Term Traffic Speed Prediction and Pattern Discovery Using Sensor Data
The sustained growth of urban populations has worsened chronic traffic congestion, with detrimental impacts on multiple dimensions of urban livability, including increased commute times, reduced road safety, and the degradation of local air quality. Thus, traffic speed prediction (TSP) is an important component of inte...
Ali Hadi, Muhammad Munim Shafi, Asadullah Safi et al.
· The 12th International Confe... · 0 citations
Open access
Aug 2026
Spatiotemporal patterns and driving mechanisms of provincial road traffic accidents in China, 2016–2024
Introduction Road traffic accidents have become a major public health issue of global concern. Methods Drawing on panel data from 31 provincial-level regions in China from 2016 to 2024, this study develops an evaluation framework comprising ten indicators related to transport infrastructure, socioeconomic development,...
Jun Zhu, Rui Zheng, Zhi-Zhuang Duan
· Frontiers in Public Health · 0 citations
Open access
Sep 2026
Spatiotemporal Characterization of Variations in Road Traffic Accident Severity in Cole County Using Multiple GIS Techniques
Whereas the recognition of the pattern of hotspot clusters is critical, this study fills the gap of understanding the spatiotemporal evolution of Road Traffic Accidents (RTAs) severity by selecting Cole County, which consists state’s capital, Jefferson City, between 2020 and 2023. Leveraging an effective GIS-based fram...
M. Al Hamami
· Wasit Journal of Engineering... · 0 citations
Conference
Open access
2026
Identification of traffic accident-prone locations and determination of victim evacuation routes on national roads in Semarang City
Semarang City records one of the highest traffic accident rates in Central Java, with incidents concentrated along national roads. A prompt and accurate emergency response is critical to preventing fatalities among accident victims. This study aims to: (1) identify traffic accident blackspot locations on national roads...
Naufal Azmi Ilyasa, Saptono Putro, Aprilia Findayani
· E3S Web of Conferences · 0 citations
Review
Open access
Sep 2026
Assessment of traffic flow parameters on congested sections of the primary road network of the resort region
Introduction. The article proposes an approach to determining traffic flow parameters on congested sections of the primary road network in a resort region, aimed at estimating time losses and road transport accessibility of tourist and transport hubs. Two representative sections of federal highways in Krasnodar K...
R. S. Runets
· The Russian Automobile and H... · 0 citations