Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis
The volume and availability of data in the Intelligent Transportation System (ITS) result in the
need for data-driven approaches. Big Data algorithms are applied to further enhance the …
need for data-driven approaches. Big Data algorithms are applied to further enhance the …
[HTML][HTML] Review on machine learning-based traffic flow prediction methods
YAO Jun-feng, HE Rui, SHI Tong-tong… - 交通运输工程 …, 2023 - transport.chd.edu.cn
The research status and development trend of macro traffic flow prediction of designated
road sections and regional road network at home and abroad were analyzed by literature …
road sections and regional road network at home and abroad were analyzed by literature …
[HTML][HTML] 基于机器学习的交通流预测方法综述
姚俊峰， 何瑞， 史童童， 王萍， 赵祥模 - 交通运输工程学报, 2023 - transport.chd.edu.cn
通过文献梳理, 专家访谈和试验场景构建等方法, 分析了道路指定断面和区域路网宏观交通流
预测的国内外研究现状和发展趋势, 归纳了局部断面交通流预测方法, 包括传统机器学习 …
预测的国内外研究现状和发展趋势, 归纳了局部断面交通流预测方法, 包括传统机器学习 …
Distributed acoustic sensor systems for vehicle detection and classification
Intelligent transport systems (ITS) are pivotal in the development of sustainable and green
urban living. ITS is data-driven and enabled by the profusion of sensors ranging from …
urban living. ITS is data-driven and enabled by the profusion of sensors ranging from …
A distributed acoustic sensor system for intelligent transportation using deep learning
Intelligent transport systems (ITS) are pivotal in the development of sustainable and green
urban living. ITS is data-driven and enabled by the profusion of sensors ranging from …
urban living. ITS is data-driven and enabled by the profusion of sensors ranging from …
IoT and machine learning for enabling sustainable development goals
M Jaber - Frontiers in Communications and Networks, 2023 - frontiersin.org
The United Nations drafted an agenda for 2030 to achieve sustainable development with 17
well-defined goals which are an urgent call for action requiring collaboration and innovation …
well-defined goals which are an urgent call for action requiring collaboration and innovation …
A systematic survey on big data and artificial intelligence algorithms for intelligent transportation system
Rapid urbanization and globalization have resulted in intolerable congestion and traffic,
necessitating the investigation of Intelligent Transportation Systems (ITS). ITS employs …
necessitating the investigation of Intelligent Transportation Systems (ITS). ITS employs …
Traffic flow estimation based on toll ticket data considering multitype vehicle impact
E Yao, X Wang, Y Yang, L Pan… - Journal of Transportation …, 2021 - ascelibrary.org
Traffic flow estimation (TFE) plays an important role in transportation systems, especially in
relation to the detection, planning, and management of traffic for expressway systems …
relation to the detection, planning, and management of traffic for expressway systems …
[HTML][HTML] Unravelling route choices of large trucks using trajectory clustering and conditional Logit models
The mobility of sizable trucks is often limited by their large size. They thus may have
additional requirements on road types, road widths, and the turning radius at the intersection …
additional requirements on road types, road widths, and the turning radius at the intersection …
Assessment of Machine Learning Techniques and Traffic Flow: A Qualitative and Quantitative Analysis
Traffic flow analysis is an interesting study topic in transportation studies. A better
understanding of traffic flow is essential for more effective traffic reduction methods. Because …
understanding of traffic flow is essential for more effective traffic reduction methods. Because …