A review of traffic congestion prediction using artificial intelligence
M Akhtar, S Moridpour - Journal of Advanced Transportation, 2021 - Wiley Online Library
In recent years, traffic congestion prediction has led to a growing research area, especially
of machine learning of artificial intelligence (AI). With the introduction of big data by …
of machine learning of artificial intelligence (AI). With the introduction of big data by …
[HTML][HTML] A review on the progress and research directions of ocean engineering
This paper reviews research in ocean engineering over the last 50+ years with the aim to (I)
understand the technological challenges and evolution in the field,(II) investigate whether …
understand the technological challenges and evolution in the field,(II) investigate whether …
Adaptive multi-kernel SVM with spatial–temporal correlation for short-term traffic flow prediction
X Feng, X Ling, H Zheng, Z Chen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Accurate estimation of the traffic state can help to address the issue of urban traffic
congestion, providing guiding advices for people's travel and traffic regulation. In this paper …
congestion, providing guiding advices for people's travel and traffic regulation. In this paper …
[HTML][HTML] Traffic state estimation of urban road networks by multi-source data fusion: Review and new insights
Accurate traffic state (ie, flow, speed, density, etc.) on an urban road network is important
information for urban traffic control and management strategies. However, due to the …
information for urban traffic control and management strategies. However, due to the …
Mobile crowdsourcing in smart cities: Technologies, applications, and future challenges
Local administrations and governments aim at leveraging wireless communications and
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …
LoTAD: Long-term traffic anomaly detection based on crowdsourced bus trajectory data
As the development of crowdsourcing technique, acquiring amounts of data in urban cities
becomes possible and reliable, which makes it possible to mine useful and significant …
becomes possible and reliable, which makes it possible to mine useful and significant …
Multi-depot green vehicle routing problem with shared transportation resource: Integration of time-dependent speed and piecewise penalty cost
The control of the environmental impacts is a considerable challenge to the daily operations
of modern logistics companies, especially under the current trend of increasing carbon …
of modern logistics companies, especially under the current trend of increasing carbon …
Complex-network-based traffic network analysis and dynamics: A comprehensive review
M Zhang, T Huang, Z Guo, Z He - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
A traffic network can be viewed as a geometric graph with the nodes representing traffic
infrastructures and the edges standing for the links between these nodes. In order to reduce …
infrastructures and the edges standing for the links between these nodes. In order to reduce …
A novel fuzzy deep-learning approach to traffic flow prediction with uncertain spatial–temporal data features
Predicting traffic flow is one of the fundamental needs to comfortable travel, but this task is
challenging in vehicular cyber–physical systems because of ever-increasing uncertain traffic …
challenging in vehicular cyber–physical systems because of ever-increasing uncertain traffic …
[HTML][HTML] Estimating congestion zones and travel time indexes based on the floating car data
Efficiently predicting traffic congestion benefits various traffic stakeholders, from regular
commuters and logistic operators to urban planners and responsible authorities. This study …
commuters and logistic operators to urban planners and responsible authorities. This study …