Explanation of Observed Features of Self-Organization in Traffic Flow
Martin Treiber, Dirk Helbing

TL;DR
This paper explains the transition from free to synchronized and stop-and-go traffic patterns using simulations of an intelligent driver model, aligning well with empirical observations.
Contribution
It provides a microscopic traffic model that quantitatively reproduces observed traffic phenomena and transitions.
Findings
Reproduces the pinch effect and flow-density relationships.
Simulates emergence of stop-and-go waves from congested traffic.
Achieves nearly quantitative agreement with empirical data.
Abstract
Based on simulations with the ``intelligent driver model'', a microscopic traffic model, we explain the recently discovered transition from free over ``synchronized'' traffic to stop-and-go patterns [B. S. Kerner, Phys. Rev. Lett. 81, 3797 (1998)]. We obtain a nearly quantitative agreement with empirical findings such as the ``pinch effect'', the flow-density diagram, the emergence of stop-and-go waves from nonhomogeneous congested traffic, and the dimensions of their wavelength.
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Taxonomy
TopicsTraffic control and management · Transportation Planning and Optimization · Traffic Prediction and Management Techniques
