Influencing Long-Term Route Choice By Traffic Control Measures: A Model Study.pdf

This technical report from Delft University of Technology's Delft Center for Systems and Control explores how existing traffic control measures, such as traffic signals and speed limits, can indirectly influence drivers' long-term route choices. While these measures are primarily designed to manage traffic flow, this study investigates their potential side effect on route selection.

Key Points:

Problem Statement: Road networks often have multiple routes, allowing drivers to choose their paths. Ideally, this results in a traffic assignment with balanced flows and minimal negative externalities. However, current traffic control measures do not always account for this route choice dynamic.

Approach: The report presents a model study using basic traffic flow and route choice models. It focuses on upper-level controllers that can adjust outflow and speed limits to achieve desired traffic assignments.

Network Setup: A simple network with two routes between an origin and a destination is used for analysis, making it easy to understand the effects of control measures.

Models:

Travel Time Model: Describes how drivers experience travel times on different routes based on network conditions (outflow, speed limits).
Route Choice Model: Relates experienced travel times to drivers' route choices, assuming that minimizing travel time is the primary factor influencing decisions.

Control Measures: Outflow control and speed limit control are investigated as potential tools for steering traffic flows towards desired equilibria.

Findings: The study analyzes equilibrium turning fractions (proportions of drivers choosing each route) under different control scenarios, demonstrating how outflow and speed limits can significantly impact long-term route choices.

* Conclusion: Existing traffic control measures hold potential for actively influencing route choice to achieve better traffic distribution and reduce congestion. Further research is needed to develop sophisticated control methods that leverage these capabilities effectively.