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Traffic jams without bottlenecks—experimental evidence for the physical mechanism of the formation of a jam

TLDR
In this paper, the authors present experimental evidence that the emergence of a traffic jam is a collective phenomenon like "dynamical" phase transitions and pattern formation, and show that a bottleneck is only a trigger and not the essential origin of traffic jam.
Abstract
A traffic jam on a highway is a very familiar phenomenon. From the physical viewpoint, the system of vehicular flow is a non-equilibrium system of interacting particles (vehicles). The collective effect of the many-particle system induces the instability of a free flow state caused by the enhancement of fluctuations, and the transition to a jamming state occurs spontaneously if the average vehicle density exceeds a certain critical value. Thus, a bottleneck is only a trigger and not the essential origin of a traffic jam. In this paper, we present the first experimental evidence that the emergence of a traffic jam is a collective phenomenon like 'dynamical' phase transitions and pattern formation

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Citations
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Journal ArticleDOI

String-Stable CACC Design and Experimental Validation: A Frequency-Domain Approach

TL;DR: Implementation of the CACC system, the string-stability characteristics of the practical setup, and experimental results are discussed, indicating the advantages of the design over standard adaptive-cruise-control functionality.
Journal ArticleDOI

Traffic experiment reveals the nature of car-following.

TL;DR: Simulations show that by removing the fundamental notion in the traditional car-following models and allowing the traffic state to span a two-dimensional region in velocity-spacing plane, the growth pattern of disturbances has changed qualitatively and becomes qualitatively or even quantitatively in consistent with that observed in the experiment.
Journal ArticleDOI

Saving Human Lives: What Complexity Science and Information Systems can Contribute

TL;DR: Models and data of crowd disasters, crime, terrorism, war and disease spreading are discussed to show that conventional recipes, such as deterrence strategies, are often not effective and sufficient to contain them and complexity science can help to save human lives.
References
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Journal ArticleDOI

A cellular automaton model for freeway traffic

TL;DR: A stochastic discrete automaton model is introduced to simulate freeway traffic and shows a transition from laminar traffic flow to start-stop- waves with increasing vehicle density, as is observed in real freeway traffic.
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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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Statistical physics of vehicular traffic and some related systems

TL;DR: In this paper, a critical review of particle-hopping models of vehicular traffic is presented, focusing on the results obtained mainly from the so-called "particle hopping" models, particularly emphasizing those formulated in recent years using the language of cellular automata.
Journal ArticleDOI

The physics of traffic jams

TL;DR: In this paper, a car-following model is proposed to investigate the bunching transition and bus delay in traffic flow and pedestrian flow, and detailed results obtained mainly from the microscopic car following models are presented.
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