Network-Wide Traffic Flow Estimation Across Multiple Cities with Global Open Multi-Source Data: A Large-Scale Case Study in Europe and North America

Z Hu, Z Zheng, M Menendez, W Ma - arxiv preprint arxiv:2502.03798, 2025 - arxiv.org
Network-wide traffic flow, which captures dynamic traffic volume on each link of a general
network, is fundamental to smart mobility applications. However, the observed traffic flow …

Comprehensive Assessment of Third-Party Truck Traffic Volume Data: A Kentucky Case Study

X Zhang, E Boasiako Antwi, M Chen - Journal of Transportation …, 2025 - ascelibrary.org
Third-party traffic volume data offer a time-and cost-effective alternative to traditional data
collection methods using permanent and short-term counters. While many studies have …

Prediction of Vehicle Weights Using Machine Learning Techniques

E Osei - 2024 - search.proquest.com
Roads and bridges are vital components of transportation infrastructure, designed to support
specific weight limits for durability. Weigh-in-Motion (WIM) technology enhances vehicle …

Szacowanie natężenia ruchu drogowego z wykorzystaniem sieci neuronowych

P Sekuła - Transport Miejski i Regionalny, 2022 - yadda.icm.edu.pl
Artykuł przedstawia metodę szacowania godzinnego natężenia ruchu drogowego opartą o
sztuczne sieci neuronowe i dane z systemów GPS. Metoda ta została opracowana przez …