Road traffic forecasting: Recent advances and new challenges
Due to its paramount relevance in transport planning and logistics, road traffic forecasting
has been a subject of active research within the engineering community for more than 40 …
has been a subject of active research within the engineering community for more than 40 …
A systematic review of prediction methods for emergency management
With the trend of global warming and destructive human activities, the frequent occurrences
of catastrophes have posed devastating threats to human life and social stability worldwide …
of catastrophes have posed devastating threats to human life and social stability worldwide …
Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions
P Grover, AK Kar, YK Dwivedi - Annals of Operations Research, 2022 - Springer
In this digital era, data is new oil and artificial intelligence (AI) is new electricity, which is
needed in different elements of operations management (OM) such as manufacturing …
needed in different elements of operations management (OM) such as manufacturing …
Machine learning-based traffic prediction models for intelligent transportation systems
A Boukerche, J Wang - Computer Networks, 2020 - Elsevier
Abstract Intelligent Transportation Systems (ITS) have attracted an increasing amount of
attention in recent years. Thanks to the fast development of vehicular computing hardware …
attention in recent years. Thanks to the fast development of vehicular computing hardware …
Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm
Traffic flow forecasting is a necessary part in the intelligent transportation systems in
supporting dynamic and proactive traffic control and making traffic management plan …
supporting dynamic and proactive traffic control and making traffic management plan …
[HTML][HTML] Online prediction of network-level public transport demand based on principle component analysis
Online demand prediction plays an important role in transport network services from
operations, controls to management, and information provision. However, the online …
operations, controls to management, and information provision. However, the online …
A unified framework for vehicle rerouting and traffic light control to reduce traffic congestion
As the number of vehicles grows rapidly each year, more and more traffic congestion occurs,
becoming a big issue for civil engineers in almost all metropolitan cities. In this paper, we …
becoming a big issue for civil engineers in almost all metropolitan cities. In this paper, we …
Survey of neural network‐based models for short‐term traffic state prediction
LNN Do, N Taherifar, HL Vu - Wiley Interdisciplinary Reviews …, 2019 - Wiley Online Library
Traffic state prediction is a key component in intelligent transport systems (ITS) and has
attracted much attention over the last few decades. Advances in computational power and …
attracted much attention over the last few decades. Advances in computational power and …
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 …
Short-term speed predictions exploiting big data on large urban road networks
Big data from floating cars supply a frequent, ubiquitous sampling of traffic conditions on the
road network and provide great opportunities for enhanced short-term traffic predictions …
road network and provide great opportunities for enhanced short-term traffic predictions …