Traffic at the Edge of Chaos
Nagel K, Rasmussen S
Abstract
We use a very simple description of human driving behavior to simulate traffic. The regime of maximum vehicle flow in a closed system shows near-critical behavior, and as a result a sharp decrease of the predictability of travel time. Since Advanced Traffic Management Systems (ATMSs) tend to drive larger parts of the transportation system towards this regime of maximum flow, we argue that in consequence the traffic system as a whole will be driven closer to criticality, thus making predictions much harder. A simulation of a simplified transportation network supports our argument.
Create a lesson
Related papers
Amplifying Phenomenal Information: Toward a Fundamental Theory of Consciousness
L. Gabora
Cumulant Dynamics of a Population under Multiplicative Selection, Mutation and Drift
Magnus Rattray, Jonathan L. Shapiro
A microsimulation of traders activity in the stock market: the role of heterogeneity, agents' interactions and trade frictions
Giulia Iori
Number-conserving cellular automaton rules
Nino Boccara, Henryk Fuks
The Importance of Being Discrete - Life Always Wins on the Surface
Nadav M. Shnerb, Yoram Louzoun, Eldad Bettelheim et al.
Fitness versus Longevity in Age-Structured Population Dynamics
W. Hwang, P. L. Krapivsky, S. Redner