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Boosted genetic algorithm using machine learning for traffic control optimization
Traffic control optimization is a challenging task for various traffic centers around the world
and the majority of existing approaches focus only on develo** adaptive methods for …
and the majority of existing approaches focus only on develo** adaptive methods for …
Inferring heterogeneous treatment effects of crashes on highway traffic: A doubly robust causal machine learning approach
Accurate estimating causal effects of crashes on highway traffic is crucial for mitigating the
negative impacts of crashes. Previous studies have built up a series of methods via …
negative impacts of crashes. Previous studies have built up a series of methods via …
Exploring the spatial effects on the level of congestion caused by traffic accidents in urban road networks: A case study of Bei**g
When traffic accidents occur on the urban link, the induced congestion propagates upstream
and affects adjacent links. Since the congestion on an urban link is affected by its adjacent …
and affects adjacent links. Since the congestion on an urban link is affected by its adjacent …
[HTML][HTML] Road network vulnerability analysis considering the probability and consequence of disruptive events: A spatiotemporal incident impact approach
This paper proposes a new data-driven impact area vulnerability analysis approach that
considers both the probability of impact of incidents and their resulting effects on an impact …
considers both the probability of impact of incidents and their resulting effects on an impact …
Spatiotemporal traffic network analysis: technology and applications
H Zhou, K Hirasawa - Knowledge and information systems, 2019 - Springer
The rapid development of intelligent transportation systems and the emergence of the
sharing economy have given rise to vast amounts of spatiotemporal data. Consequently …
sharing economy have given rise to vast amounts of spatiotemporal data. Consequently …
Exploring the effect of built environment on spatiotemporal evolution of traffic congestion using a novel GTWR model: a case study of Hefei, China
Understanding the impact of the built environment on traffic congestion can provide reliable
references for alleviating traffic congestion. Previous research has explored traffic …
references for alleviating traffic congestion. Previous research has explored traffic …
Incorporating multiple congestion levels into spatiotemporal analysis for the impact of a traffic incident
Traffic incidents occurring on the road interrupt the smooth mobility of traffic flow and lead to
traffic congestion. Although there has been a proliferation of studies that attempt to estimate …
traffic congestion. Although there has been a proliferation of studies that attempt to estimate …
Effective and unburdensome forecast of highway traffic flow with adaptive computing
MAC Alves, RLF Cordeiro - Knowledge-Based Systems, 2021 - Elsevier
Given traffic flow measurements for one highway, how to forecast its flow in future periods?
Recent works in traffic forecast propose burdensome procedures by depending on …
Recent works in traffic forecast propose burdensome procedures by depending on …
Crosstown traffic-supervised prediction of impact of planned special events on urban traffic
Large-scale planned special events in cities including concerts, football games and fairs can
significantly impact urban mobility. The lack of reliable models for understanding and …
significantly impact urban mobility. The lack of reliable models for understanding and …
Modeling the evolution of incident impact in urban road networks by leveraging the spatiotemporal propagation of shockwaves
Traffic incidents bring disruptions to the smooth movement of vehicles and have a spillover
effect on the traffic in urban road networks. Although there has been a large number of …
effect on the traffic in urban road networks. Although there has been a large number of …