A Microscopic Traffic Flow Data Generation Method Based on an Improved DCGAN
Microscopic traffic flow data, an important input to virtual test scenarios for autonomous driving, are often difficult to obtain in large quantities to allow for batch testing.
Pengyu Wang +6 more
doaj +4 more sources
From Heterogeneous Microscopic Traffic Flow Models to Macroscopic Models [PDF]
The goal of this paper is to derive rigorously macroscopic traffic flow models from microscopic models. More precisely, for the microscopic models, we consider follow-the-leader type models with different types of drivers and vehicles which are distributed randomly on the road.
Pierre Cardaliaguet, Nicolas Forcadel
exaly +7 more sources
Measuring and Modelling of the Traffic Flow at Microscopic Level
The traffic flow theory is dealing with the better understandingof the traffic flow and its improvement. Most often, the researchedsubject was been the road traffic.
Rudi Čop, Milan Batista
doaj +3 more sources
A Microscopic Traffic Flow Model Characterization for Weather Conditions
Road surfaces are affected by rain, snow, and ice, which influence traffic flow. In this paper, a microscopic traffic flow model based on weather conditions is proposed. This model characterizes traffic based on the weather severity index.
Faryal Ali +3 more
doaj +4 more sources
Traffic State Lane-Level Estimation Based on Transformer and Vehicle Trajectory Data [PDF]
Investigating the fundamental link between microscopic vehicular motion parameters and macroscopic traffic flow states is pivotal for advancing refined traffic state estimation research and propelling the progression of Intelligent Transportation Systems.
Wei Bai +4 more
doaj +2 more sources
Enhancing traffic safety analysis with digital twin technology: integrating vehicle dynamics and environmental factors into microscopic traffic simulation [PDF]
Traffic safety is a critical concern in transportation engineering and urban planning. Traditional traffic safety analysis requires trained observers to collect data in the field, which is time-consuming, labor-intensive, and sometimes inaccurate.
Guanhao Xu +6 more
doaj +2 more sources
A systematic review of machine learning-based microscopic traffic flow models and simulations
Microscopic traffic flow models and simulations are crucial for capturing vehicle interactions and analyzing traffic. They can provide critical insights for transport planning, management, and operation through scenario testing and optimization. With the
Davies Rowan +4 more
doaj +3 more sources
Calibration and Validation of Microscopic Traffic Flow Models [PDF]
The aim of this paper is to present recent progress in calibrating ten microscopic traffic flow models. The models have been tested using data collected via DGPS-equipped cars (Differential Global Positioning System) on a test track in Japan. To calibrate the models, the data of a leading car are fed into the model under consideration and the model is ...
Brockfeld, Elmar, Wagner, Peter
openaire +7 more sources
Microscopic and macroscopic traffic flow models including random accidents [PDF]
We introduce microscopic and macroscopic stochastic traffic models including traffic accidents. The microscopic model is based on a Follow-the-Leader approach whereas the macroscopic model is described by a scalar conservation law with space dependent flux function. Accidents are introduced as interruptions of a deterministic evolution and are directly
Göttlich, Simone, Schillinger, Thomas
openaire +3 more sources
A Macroscopic Model of Heterogeneous Traffic Flow Based on the Safety Potential Field Theory
The macroscopic traffic flow model is the cornerstone of traffic flow theory and can be applied to investigate manytraffic planning and management issues.
Linheng Li +4 more
doaj +1 more source

