Results 21 to 30 of about 3,288,100 (328)
CROSSING SPEEDS OF CARS THROUGH SIGNALIZED INTERSECTIONS
Journal of Engineering Science (Chişinău), 2023 The article deals with the problem of traffic in three traffic-light intersections in the street network of Iasi city. Usually, the existing traffic lights do not fully take into account the size, structure and parameters of the queue of vehicles waiting
GALUSCA, Narciza-Izabela +4 more
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Congested traffic states in empirical observations and microscopic simulations [PDF]
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 2000 We present data from several German freeways showing different kinds of congested traffic forming near road inhomogeneities, specifically lane closings, intersections, or uphill gradients. The states are localized or extended, homogeneous or oscillating.
M. Treiber, Ansgar Hennecke, D. Helbing
semanticscholar +1 more source
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution [PDF]
ACM Transactions on Knowledge Discovery from Data, 2021 Traffic prediction is the cornerstone of intelligent transportation system. Accurate traffic forecasting is essential for the applications of smart cities, i.e., intelligent traffic management and urban planning. Although various methods are proposed for
Fuxian Li +5 more
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GMAN: A Graph Multi-Attention Network for Traffic Prediction [PDF]
AAAI Conference on Artificial Intelligence, 2019 Long-term traffic prediction is highly challenging due to the complexity of traffic systems and the constantly changing nature of many impacting factors. In this paper, we focus on the spatio-temporal factors, and propose a graph multi-attention network (
Chuanpan Zheng +3 more
semanticscholar +1 more source
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting [PDF]
Proceedings of the VLDB Endowment, 2022 We all depend on mobility, and vehicular transportation affects the daily lives of most of us. Thus, the ability to forecast the state of traffic in a road network is an important functionality and a challenging task.
Zezhi Shao +6 more
semanticscholar +1 more source
Safety, 2023 Background: Permanent Daylight Savings Time (DST) may improve road safety by providing more daylight in the evening but could merely shift risk to morning commutes or increase risk due to fatigue and circadian misalignment.
Jaime K. Devine +2 more
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Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction [PDF]
AAAI Conference on Artificial Intelligence, 2022 Robust prediction of citywide traffic flows at different time periods plays a crucial role in intelligent transportation systems. While previous work has made great efforts to model spatio-temporal correlations, existing methods still suffer from two key
Jiahao Ji +7 more
semanticscholar +1 more source
EQA, 2020 The study determined the concentrations of heavy metals in the road dust samples collected in some selected busy traffic junction in Osogbo, southwest, Nigeria.
Ogundele Lasun Tunde +2 more
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Seismic Interferometry from Correlated Noise Sources
Remote Sensing, 2021 It is a well-established principle that cross-correlating seismic observations at different receiver locations can yield estimates of band-limited inter-receiver Green’s functions.
Daniella Ayala-Garcia +2 more
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Estimating Freeway Level-of-Service Using Crowdsourced Data
Informatics, 2021 In traffic operations, the aim of transportation agencies and researchers is typically to reduce congestion and improve safety. To attain these goals, agencies need continuous and accurate information about the traffic situation.
Nima Hoseinzadeh +4 more
doaj +1 more source