Results 41 to 50 of about 3,288,100 (328)
Analysis of marine conflicts [PDF]
, 2006 The traffic conflict technique (TCT) is a powerful technique applied in road traffic safety assessment as a surrogate of the traditional accident data analysis. It has subdued the conceptual and implemental weaknesses of the accident statistics. Although
Begoña Martinez de Tejada +7 more
core +3 more sources
HOG, LBP and SVM based Traffic Density Estimation at Intersection
, 2020 Increased amount of vehicular traffic on roads is a significant issue. High amount of vehicular traffic creates traffic congestion, unwanted delays, pollution, money loss, health issues, accidents, emergency vehicle passage and traffic violations that ...
Gadpal, Ayan +4 more
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Statistical Traffic State Analysis in Large-scale Transportation Networks Using Locality-Preserving Non-negative Matrix Factorization [PDF]
, 2012 Statistical traffic data analysis is a hot topic in traffic management and control. In this field, current research progresses focus on analyzing traffic flows of individual links or local regions in a transportation network.
Han, Yufei, Moutarde, Fabien
core +5 more sources
National Highway Traffic Safety Administration
Federal Regulatory Guide, 2020 This paper presents the results of a study on crash conditions and occupant characteristics in side impacts to support the development of advanced side impact test procedures.
S. Daniel
semanticscholar +1 more source
Spatial As Deep: Spatial CNN for Traffic Scene Understanding [PDF]
AAAI Conference on Artificial Intelligence, 2017 Convolutional neural networks (CNNs) are usually built by stacking convolutional operations layer-by-layer. Although CNN has shown strong capability to extract semantics from raw pixels, its capacity to capture spatial relationships of pixels across ...
Xingang Pan +4 more
semanticscholar +1 more source
Вестник СибАДИ, 2022 Introduction. Today there is an acute problem of increasing the number of accidents involving personal mobility devices (PMD). A sharp increase in these vehicles on public roads poses a threat to both vehicle drivers and pedestrians.Materials and methods.
A. A. Jung, A. G. Shevtsova
doaj +1 more source
Egyptian Informatics Journal, 2022 the drivers that enable a view of traffic flow and the volume of vehicles available on the road remotely, intending to avoid traffic jams. The proposed model improves traffic flow and decreases congestion. The proposed system provides an accuracy of 95% and a
Muhammad Saleem +5 more
semanticscholar +1 more source
Impact of traffic management on black carbon emissions: a microsimulation study [PDF]
, 2015 This paper investigates the effectiveness of traffic management tools, includ- ing traffic signal control and en-route navigation provided by variable message signs (VMS), in reducing traffic congestion and associated emissions of CO2, NOx, and black ...
Beckx, C +7 more
core +1 more source
Traffic and related self-driven many-particle systems [PDF]
, 2000 Since the subject of traffic dynamics has captured the interest of physicists, many surprising effects have been revealed and explained. Some of the questions now understood are the following: Why are vehicles sometimes stopped by “phantom traffic jams ...
D. Helbing
semanticscholar +1 more source
Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control [PDF]
IEEE transactions on intelligent transportation systems (Print), 2019 Reinforcement learning (RL) is a promising data-driven approach for adaptive traffic signal control (ATSC) in complex urban traffic networks, and deep neural networks further enhance its learning power. However, the centralized RL is infeasible for large-
Tianshu Chu +3 more
semanticscholar +1 more source