Results 31 to 40 of about 6,545,702 (334)

A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving

open access: yesComputer graphics forum (Print), 2019
Virtualized traffic via various simulation models and real‐world traffic data are promising approaches to reconstruct detailed traffic flows. A variety of applications can benefit from the virtual traffic, including, but not limited to, video games ...
Qianwen Chao   +6 more
semanticscholar   +1 more source

Traffic and Driving Simulator Based on Architecture of Interactive Motion

open access: yesThe Scientific World Journal, 2015
This study proposes an architecture for an interactive motion-based traffic simulation environment. In order to enhance modeling realism involving actual human beings, the proposed architecture integrates multiple types of simulation, including: (i ...
Alexander Paz   +4 more
doaj   +1 more source

The impact of autonomous vehicles on urban traffic network capacity: an experimental analysis by microscopic traffic simulation

open access: yesTransportation letters, 2019
Urban commuters have been suffering from traffic congestion for a long time. In order to avoid or mitigate the congestion effect, it is significant to know how the introduction of autonomous vehicles (AVs) influence the road capacity .
Q. Lu   +3 more
semanticscholar   +1 more source

Simulation of Crossroad Traffic

open access: yesPromet (Zagreb), 2012
It is difficult to find the right tool for making traffic regimemodels because so many different situations are involved.SIMULINK has proved to be one of the best.
Boris Tovornik   +2 more
doaj   +1 more source

Experiences with a simplified microsimulation for the Dallas/Fort Worth area

open access: yes, 1997
We describe a simple framework for micro simulation of city traffic. A medium sized excerpt of Dallas was used to examine different levels of simulation fidelity of a cellular automaton method for the traffic flow simulation and a simple intersection ...
Cuesta J. A.   +6 more
core   +3 more sources

Micro-simulation modelling for traffic safety: A review and potential application to heterogeneous traffic environment

open access: yesIATSS Research, 2019
This paper critically reviews micro-simulation modelling applications for traffic safety evaluation with respect to the use of different simulation tools, the application of surrogate safety indicators under different aspects of road environments and ...
S.M. Sohel Mahmud   +3 more
doaj   +1 more source

Traffic queue modeling using arena simulation software (a case study of Mergan 4-Way intersection in Malang City)

open access: yesMATEC Web of Conferences, 2018
Currently Mergan 4-way intersection is one of intersection that have most traffic dense in Malang City, East Java - Indonesia. This research implement simulation method in order to give several solution option to manage the traffic queue in Mergan 4-way ...
Yuniawan Dani   +3 more
doaj   +1 more source

TRANSIT TIME THROUGH THE BORDER-CROSSING POINTS: THE CASE STUDY OF THE EU'S ROAD BCP WITH MOLDAVIA [PDF]

open access: yesTransport Problems, 2016
. This paper provides an overview on the ACROSSEE project (funded by the ERDF under the SEE program), its objectives, general methodology, and the main results.
Mihaela POPA   +4 more
doaj   +1 more source

Vehicle-In-The-Loop (VIL) and Scenario-In-The-Loop (SCIL) Automotive Simulation Concepts from the Perspectives of Traffic Simulation and Traffic Control

open access: yesTransport and Telecommunication Journal, 2019
As highly automated and autonomous vehicles (AVs) become more and more widespread, inducing the change of traffic dynamics, significant changes occur in traditional traffic control.
M. Horváth   +4 more
semanticscholar   +1 more source

Development and evaluation of bidirectional LSTM freeway traffic forecasting models using simulation data

open access: yesScientific Reports, 2021
Long short-term memory (LSTM) models provide high predictive performance through their ability to recognize longer sequences of time series data. More recently, bidirectional deep learning models (BiLSTM) have extended the LSTM capabilities by training ...
Rusul L. Abduljabbar   +2 more
semanticscholar   +1 more source

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