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   Articles with "traffic congestion" as a keyword



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A traffic congestion analysis by user equilibrium and system optimum with incomplete information

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recommendations! Published in 2020 at "Journal of Combinatorial Optimization"

DOI: 10.1007/s10878-020-00663-4

Abstract: Nowadays, the rapid development of intelligent navigation systems has profound impacts on the routing of traffic users. With the assistance of these intelligent navigation systems, traffic users can obtain more accurate information about a traffic… read more here.

Keywords: traffic; congestion analysis; information; traffic congestion ... See more keywords

Simultaneous internalization of traffic congestion and noise exposure costs

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recommendations! Published in 2018 at "Transportation"

DOI: 10.1007/s11116-017-9776-0

Abstract: This study elaborates on the interrelation of external effects, in particular road traffic congestion and noise. An agent-based simulation framework is used to compute and internalize user-specific external congestion effects and noise exposures. The resulting… read more here.

Keywords: congestion noise; traffic congestion; optimization; noise ... See more keywords
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Mapping dynamic road emissions for a megacity by using open-access traffic congestion index data

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recommendations! Published in 2020 at "Applied Energy"

DOI: 10.1016/j.apenergy.2019.114357

Abstract: The high populations of vehicles in global megacities have raised serious mobility and sustainability challenges, such as traffic congestion, air pollution deterioration and energy consumption issues. Detailed emission inventories at the link level are a… read more here.

Keywords: traffic; open access; road; traffic congestion ... See more keywords
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Traffic congestion prediction based on Hidden Markov Models and contrast measure

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recommendations! Published in 2020 at "Ain Shams Engineering Journal"

DOI: 10.1016/j.asej.2019.10.006

Abstract: Abstract Traffic congestion is an important socio-economic problem that swelled in the last few decades. It affects the social mobility of people, length of trips, quality of life, and the economy of countries. As a… read more here.

Keywords: hidden markov; traffic; traffic congestion; markov models ... See more keywords

Geographical patterns of traffic congestion in growing megacities: Big data analytics from Beijing

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recommendations! Published in 2019 at "Cities"

DOI: 10.1016/j.cities.2019.03.022

Abstract: Abstract Traffic congestion is one of the key issues relating to sustainability and livability in many large cities. In particular, the situation in the growing megacities of developing countries has been worsening and is now… read more here.

Keywords: growing megacities; congestion; patterns traffic; big data ... See more keywords

Efficient traffic congestion estimation using multiple spatio-temporal properties

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recommendations! Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.06.017

Abstract: Traffic estimation is an important issue to analyze the traffic congestion in large-scale urban traffic situations. Recently, many researchers have used GPS data to estimate traffic congestion. However, how to fuse the multiple data reasonably… read more here.

Keywords: status; traffic; efficient traffic; estimation ... See more keywords

Modelling the net traffic congestion impact of bus operations in Melbourne

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recommendations! Published in 2018 at "Transportation Research Part A: Policy and Practice"

DOI: 10.1016/j.tra.2018.08.005

Abstract: Abstract Bus services can be seen as a way to reduce traffic congestion where they can encourage a mode shift from car. However, they can also generate negative effects on traffic flow due to stop-start… read more here.

Keywords: impact bus; bus; congestion; traffic congestion ... See more keywords

Detrended cross-correlation analysis of urban traffic congestion and NO 2 concentrations in Chengdu

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recommendations! Published in 2018 at "Transportation Research Part D: Transport and Environment"

DOI: 10.1016/j.trd.2016.12.012

Abstract: Abstract In urban congested road sections, usually there exhibits elevated exhaust emissions due to longer idling and more frequent acceleration of vehicles. Using detrended cross-correlation analysis (DCCA), the relationship between air pollution and traffic congestion… read more here.

Keywords: correlation; traffic; cross correlation; traffic congestion ... See more keywords

Intelligent traffic congestion forecasting using BiLSTM and adaptive secretary bird optimizer for sustainable urban transportation

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-02933-9

Abstract: Traffic congestion forecasting is one of the major elements of the Intelligent Transportation Systems (ITS). Traffic congestion in urban road networks significantly influences sustainability by increasing air pollution levels. Efficient congestion management enables drivers to… read more here.

Keywords: congestion; traffic congestion; bilstm adaptive; congestion forecasting ... See more keywords

Mining taxi trajectories for most suitable stations of sharing bikes to ease traffic congestion

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recommendations! Published in 2018 at "Iet Intelligent Transport Systems"

DOI: 10.1049/iet-its.2017.0334

Abstract: Sharing bike service is a new emerging public transportation, which has been the hottest topic for months. Sharing bike service provides flexible demand-oriented transit services for city commuters. However, as large amount of sharing bikes… read more here.

Keywords: traffic; taxi trajectories; traffic congestion; sharing bikes ... See more keywords

Identification of Freeway Traffic Congestion From Social Media Using a Hybrid Deep Learning Method: A Case Study

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recommendations! Published in 2025 at "IET Intelligent Transport Systems"

DOI: 10.1049/itr2.70103

Abstract: The massive real‐time data shared by Internet users provides a potentially rich resource for detecting traffic congestion. Targeting China's predominant social network platform, ‘Sina Weibo’, this paper proposes a hybrid deep learning method to mine… read more here.

Keywords: congestion; traffic congestion; method; hybrid deep ... See more keywords