Microscopic traffic flow model
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Trajectory data-based traffic flow studies: A revisit Open
In this paper, we review trajectory data-based traffic flow studies that have been conducted over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest in the latest developments of traffic flow theory tha…
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Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models Open
Traffic state estimation (TSE) reconstructs the traffic variables (e.g., density or average velocity) on road segments using partially observed data, which is important for traffic managements. Traditional TSE approaches mainly bifurcate i…
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Calibration of traffic flow models using a memetic algorithm Open
A Memetic Algorithm (MA) for the calibration of microscopic traffic flow simulation models is proposed in this study. The proposed MA includes a combination of genetic and simulated annealing algorithms. The genetic algorithm performs the …
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Multiclass multilane model for freeway traffic mixed with connected automated vehicles and regular human-piloted vehicles Open
In view of the advantages and a promising market prospect of the emerging connected automated vehicles (CAVs), it will be very likely that the roadway is shared by CAVs and RHVs in the near future. To support traffic control design, this p…
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Simulation Strategies for Mixed Traffic Conditions: A Review of Car-Following Models and Simulation Frameworks Open
The area of traffic flow modelling and analysis that bridges civil engineering, computer science, and mathematics has gained significant momentum in the urban areas due to increasing vehicular population causing traffic congestion and acci…
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A Macroscopic Traffic Model based on Driver Reaction and Traffic Stimuli Open
A new macroscopic traffic flow model is proposed, which considers driver presumption based on driver reaction and traffic stimuli. The Payne–Whitham (PW) model characterizes the traffic flow based on a velocity constant C 0 which results i…
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Experimental and Empirical Investigations of Traffic Flow Instability Open
Traffic instability is an important but undesirable feature of traffic flow. This paper reports our experimental and empirical studies on traffic flow instability. We have carried out a large scale experiment to study the car-following beh…
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A game-theoretic framework for autonomous vehicles velocity control: Bridging microscopic differential games and macroscopic mean field games Open
This paper proposes an efficient computational framework for longitudinal\nvelocity control of a large number of autonomous vehicles (AVs) and develops a\ntraffic flow theory for AVs. Instead of hypothesizing explicitly how AVs drive,\nour…
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A second-order model for vehicular traffics with local point constraints on the flow Open
In this paper we present a second-order model based on the Aw, Rascle, Zhang model (ARZ) for vehicular traffics subject to point constraints on the flow, its motivation being, for instance, the modeling of traffic lights along a road. We f…
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Kinetic-Controlled Hydrodynamics for Traffic Models with Driver-Assist Vehicles Open
We develop a hierarchical description of traffic flow control by means of\ndriver-assist vehicles aimed at the mitigation of speed-dependent road risk\nfactors. Microscopic feedback control strategies are designed at the level of\nvehicle-…
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Research on critical characteristics of highway traffic flow based on three phase traffic theory Open
In this paper, based on further development of the rules of Kerner–Klenov–Wolf (KKW) cellular automaton (CA) traffic flow model, we propose a Cellular Automaton model for single and two lane highway traffic flow in the framework of Kerner'…
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Macroscopic modeling of multilane motorways using a two-dimensional second-order model of traffic flow Open
Lane changing is one of the most common maneuvers on motorways. Although macroscopic traffic models are well known for their suitability to describe fast moving crowded traffic, most of these models are generally developed in a one-dimensi…
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Estimating Emissions from Static Traffic Models: Problems and Solutions Open
In large urban areas, the estimation of vehicular traffic emissions is commonly based on the outputs of transport planning models, such as Static Traffic Assignment (STA) models. However, such models, being used in a strategic context, imp…
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Macroscopic traffic state estimation using relative flows from stationary and moving observers Open
This article presents a procedure to estimate the macroscopic traffic state in a pre-defined space-time mesh using relative flow data collected by stationary and moving observers. The procedure consist of two consecutive and independent pr…
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Continuum modeling of freeway traffic flows: State-of-the-art, challenges and future directions in the era of connected and automated vehicles Open
Connected and automated vehicles (CAVs) are expected to reshape traffic flow dynamics and present new challenges and opportunities for traffic flow modeling. While numerous studies have proposed optimal modeling and control strategies for …
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Traffic simulation: an analytical review Open
The constant increase in the number of cars in cities causes transportation problems that make it necessary to optimize the road network so as to satisfy the transport needs of the city. In this regard, modeling and optimal planning of the…
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Mesoscopic Traffic State Estimation based on a Variational Formulation of the LWR Model in Lagrangian-space Coordinates and Kalman Filter Open
This paper proposes a new model-based traffic state estimation framework using the LWR model formulated in vehicle number – space (Lagrangian – space) coordinates. This formulation inherits the numerical benefits and modelling flexibility …
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Swarm intelligence algorithms for macroscopic traffic flow model validation with automatic assignment of fundamental diagrams Open
This paper is concerned with the problem of macroscopic road traffic flow model calibration and verification. Thoroughly validated models are necessary for both control system design and scenario evaluation purposes. Here, the second order…
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A macroscopic flow model for mixed bicycle–car traffic Open
Bicycles are gaining popularity as a mode of transport resulting in a mixed bicycle–car traffic situation on urban roads. Cyclists however, are hardly included in traffic flow models which complicates the design of safe and congestion-free…
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Macroscopic Traffic Flow Characterization for Stimuli Based on Driver Reaction Open
The design and management of infrastructure is a significant challenge for traffic engineers and planners. Accurate traffic characterization is necessary for effective infrastructure utilization. Thus, models are required that can characte…
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Macroscopic Traffic Flow Model Calibration Using Different Optimization Algorithms Open
This study tests and compares different optimization algorithms employed for the calibration of a macroscopic traffic flow model. In particular, the deterministic Nelder-Mead algorithm, a stochastic genetic algorithm and the stochastic cro…
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Kinetic models for traffic flow resulting in a reduced space of microscopic velocities Open
The purpose of this paper is to study the properties of kinetic models for traffic flow described by a Boltzmann-type approach and based on a continuous space of microscopic velocities. In our models, the particular structure of the collis…
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Traffic Games: Modeling Freeway Traffic with Game Theory Open
We apply game theory to a vehicular traffic model to study the effect of driver strategies on traffic flow. The resulting model inherits the realistic dynamics achieved by a two-lane traffic model and aims to incorporate phenomena caused b…
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Calibration of Micro-Simulation Model Parameters for Heterogeneous Traffic using Mode-Specific Performance Measure Open
Calibration is an essential prerequisite to scenario evaluations using traffic micro-simulation models (TMMs). In the context of mixed-traffic operations, where different fast and slow moving vehicular modes form a heterogeneous environmen…
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Fundamental diagrams in traffic flow: The case of heterogeneous kinetic models Open
Experimental studies on vehicular traffic provide data on quantities like\ndensity, flux, and mean speed of the vehicles. However, the diagrams relating\nthese variables (the fundamental and speed diagrams) show some peculiarities\nnot yet…
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Vehicle counting and traffic flow parameter estimation for dense traffic scenes Open
The vision‐based traffic flow parameter estimation is a challenging problem especially for dense traffic scenes, due to the difficulties of occlusion, small‐size and dense traffic etc. Yet, previous methods mainly use detection and trackin…
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The BGK approximation of kinetic models for traffic Open
We study spatially non-homogeneous kinetic models for vehicular traffic ow. Classical formulations, as for instance the BGK equation, lead to unconditionally unstable solutions in the congested regime of traffic. We address this issue by d…
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Estimating Freeway Traffic Volume Using Shockwaves and Probe Vehicle Trajectory Data Open
Probe vehicle data are increasingly becoming the primary source of traffic data. In current practice, traffic volumes and speeds are collected from inductive loop or similar devices. As probe vehicle data become more widespread, it is impe…
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Comparison of Traffic Flow Models with Real Traffic Data Based on a Quantitative Assessment Open
The fundamental relationship of traffic flow and bivariate relations between speed and flow, speed and density, and flow and density are of great importance in transportation engineering. Fundamental relationship models may be applied to a…
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A Review Analysis of Optimal Velocity Models Open
To understand traffic behavior, we require a thorough knowledge of traffic stream parameters and their mutual relationships. This relationship between the traffic parameters results many researches yielded many mathematical models named Tr…