Dissolution of traffic jam via additional local interactions

Abstract

We use a cellular automata approach to numerically investigate traffic flow patterns on a single lane. The free-flow phase (F), the synchronized phase (S), and the jam phase (J) are observed and the transitions among them are studied as the vehicular density $\rho$ is slowly varied. If $\rho$ is decreased from well inside the J phase, the flux $\Phi$ follows the lower branch of the hysteresis loop, implying that the adiabatic decrease of $\rho$ is not an efficient way to put the system back into S or F phases. We propose a simple way to help the system to escape out of J phase, which is based on the local information of the velocities of downstream vehicles.

7 pages in two columns, 5 figures

References in corpus (1)

• The Price of Anarchy in Transportation Networks: Efficiency and Optimality Control

Cited by in corpus (5)

• Failure of classical traffic flow theories: Stochastic highway capacity and automatic driving
• Microscopic Theory of Traffic Flow Instability Governing Traffic Breakdown at Highway Bottlenecks: Growing Wave of Increase in Speed in Synchronized Flow
• Statistical Physics of Synchronized Traffic Flow: Spatiotemporal Competition between S$\to$F and S$\to$J Instabilities
• Physics of Automated-Driving Vehicular Traffic
• Effect of Autonomous Driving on Traffic Breakdown in Mixed Traffic Flow: A Critical Mini-Review