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A new car-following model accounting for varying road condition

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TLDR
In this paper, a car-following model with consideration of varying road condition based on the empirical data is developed, which explores the effects of road condition on uniform flow from analytical and numerical perspectives.
Abstract
In this paper, we develop a new car-following model with consideration of varying road condition based on the empirical data. Firstly, we explore the effects of road condition on uniform flow from analytical and numerical perspectives. The results indicate that road condition has great influences on uniform flow, i.e., good road condition can enhance the velocity and flow and their increments will increase when road condition becomes better; bad road conditions will reduce the velocity and flow and their reductions will increase when road condition turns worse. Secondly, we study the effects of road conditions on the starting and braking processes. The numerical results show that good road condition will speed up the two processes and that bad road condition will slow down the two processes. Finally, we study the effects of road condition on small perturbation. The numerical results indicate that the stop-and-go phenomena resulted by small perturbation will become more serious when the road condition becomes better.

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Citations
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Journal ArticleDOI

A new car-following model with consideration of inter-vehicle communication

TL;DR: In this paper, a car-following model with inter-vehicle communication (IVC) was proposed to study the driving behavior under an accident, and the numerical results show that the proposed model can qualitatively describe the effects of IVC on each vehicle's speed, acceleration, movement trail, and headway.
Journal ArticleDOI

Jamming transitions and the effect of interruption probability in a lattice traffic flow model with passing

TL;DR: In this article, a new lattice hydrodynamic model is proposed by considering the interruption probability effect on traffic flow with passing and analyzed both theoretically and numerically both from linear and non-linear stability analysis, the effect of interruption probability on the phase diagram is investigated and the condition of existence for kink-antikink soliton solution of mKdV equation is derived.
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Analyses of the driver's anticipation effect in a new lattice hydrodynamic traffic flow model with passing

TL;DR: The theoretical findings are verified using numerical simulation which confirm that traffic jam can be suppressed efficiently by considering the anticipation effect in the new lattice model.
Journal ArticleDOI

Analytical studies on the instabilities of heterogeneous intelligent traffic flow

TL;DR: A linear stability analysis is performed to find the stability threshold of heterogeneous traffic flow using microscopic models, particularly the effect of intelligent vehicles on heterogeneous (or multi-class) traffic flow instabilities.
Journal ArticleDOI

An extended two-lane car-following model accounting for inter-vehicle communication

TL;DR: The numerical results show that the proposed model can perfectly describe each vehicle’s motion when an incident occurs, i.e., no collision occurs while the classical full velocity difference (FVD) model produces collision on each lane, which shows the proposed models is more reasonable.
References
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Journal Article

On kinetic waves, II . A theory of traffic flow on long crowded roads

TL;DR: In this paper, a functional relationship between flow and concentration for traffic on crowded arterial roads has been postulated for some time, and has experimental backing, from which a theory of the propagation of changes in traffic distribution along these roads may be deduced.
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On kinematic waves II. A theory of traffic flow on long crowded roads

TL;DR: The theory of kinematic waves is applied to the problem of estimating how a ‘hump’, or region of increased concentration, will move along a crowded main road, and is applicable principally to traffic behaviour over a long stretch of road.
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Shock Waves on the Highway

TL;DR: In this article, a simple theory of traffic flow is developed by replacing individual vehicles with a continuous fluid density and applying an empirical relation between speed and density, which is a simple graph-shearing process for following the development of traffic waves.
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Traffic and related self-driven many-particle systems

TL;DR: This article considers the empirical data and then reviews the main approaches to modeling pedestrian and vehicle traffic, including microscopic (particle-based), mesoscopic (gas-kinetic), and macroscopic (fluid-dynamic) models.
Journal ArticleDOI

Dynamical model of traffic congestion and numerical simulation

TL;DR: In this model, the legal velocity function is introduced, which is a function of the headway of the preceding vehicle, and the evolution of traffic congestion is observed with the development of time.
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