MACHINE learningRADIAL basis functionsTRAFFIC patternsTRAFFIC flowTRAFFIC signs & signalsVEHICULAR ad hoc networksINTELLIGENT transportation systemsAs urbanization and vehicular density continue to rise, the efficient management of traffic in vehicular networks becomes increasingly critical. This p...
Traffic management approaches using machine learning and deep learning techniques: A survey 2024, Engineering Applications of Artificial Intelligence Citation Excerpt : Utilizing effective traffic management strategies is crucial for improving urban transportation networks and ensuring their effectiveness. This is...
Large Language Models into machine learning workflows for traffic incident management, focusing on the classification of incident severity using accident reports... A Grigorev,K Saleh,Y Ou,... 被引量: 0发表: 2024年 Hybrid feature selection-based machine learning Classification system for the predicti...
More importantly, the intelligent traffic management system uses advanced machine learning capabilities to gain insight into typical congestion patterns, in order to actively identify potential traffic events before they happen. By analyzing large volumes of road condition data and information from Hikvision...
The use of walk calibration using machine learning proved to be feasible, as well as necessary, specially when changing the walking surface. The TeamChaos improved its maximum speed a 30% using simulated annealing. On the other hand, usi... B Bonev,M Cazorla,H Martínez - Springer Berlin He...
As an important basis for traffic planning, traffic management, and control, traffic flow prediction is one of the most critical problems in intelligent transportation system research. With the widespread deployment of intelligent data acquisition terminals such as Radar and GPS devices, a large amount...
ITS Intelligent Transportation System TMSs Traffic Management Systems ML Machine Learning 1. Introduction Smart city development is coupled with a significant shift regarding planning and adopting advanced technologies to assemble “smarter” cities to enhance people's quality of life. The European Commissio...
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Therefore, all of them require a higher management burden than a single monitoring probe and present some impact on end-host performance. Scaife et al. (2016) measured disk-access actions from each running process. Results of testing the described tool using ransomware binaries from 24 different...
In this section, smart traffic vehicle management using Faster R-CNN based deep learning based ensemble method is highlighted. The research problem revolves around traffic management which involves vehicle segmentation at different background levels5. In order to achieve this, we study Faster R-CNN5...