Obscuring digital route-choice information prevents delay-induced congestion

Area of Science:

• Traffic dynamics
• Complex systems
• Transportation network analysis

Background:

• Routing applications influence individual mobility choices, but their collective traffic impact is unclear.
• Smart communication technologies offer traffic data, yet delays limit its utility.
• Outdated traffic information from routing apps can affect overall traffic flow.

Purpose of the Study:

• To analyze collective traffic dynamics resulting from route choices based on delayed information.
• To understand how information delays impact traffic stability and congestion.
• To identify strategies for mitigating delay-induced traffic congestion.

Main Methods:

• Development and analysis of a simplified model of collective traffic dynamics.
• Investigation of traffic flow stability and bifurcation points related to information delay.
• Utilizing microscopic, agent-based simulations on a road network.

Main Results:

• Traffic flow remains stable for small information delays.
• Delays beyond a critical point trigger self-organized oscillations and congestion.
• Averaging delayed information or reducing adherence to recommendations can prevent congestion.

Conclusions:

• Non-instantaneous routing information can lead to unintended system-wide traffic dynamics.
• Understanding these mechanisms is crucial for avoiding delay-induced congestion.
• Strategies like data averaging and adaptive adherence can improve traffic flow.