An intersection geometric design and signal control collaborative optimization method based on simulation optimization

By employing a simulation-based optimization method for the coordinated optimization of intersection geometry and signal control, and utilizing simulation models and particle swarm optimization algorithms, the design parameters of the intersection are automatically adjusted. This solves the problem of poor optimization results in traditional methods and enables flexible and rapid optimization of intersections.

CN119989855BActive Publication Date: 2026-06-19UNIV OF SHANGHAI FOR SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
UNIV OF SHANGHAI FOR SCI & TECH
Filing Date
2024-11-07
Publication Date
2026-06-19

AI Technical Summary

⚠Technical Problem

Existing technologies fail to effectively optimize the pre-stop line and pre-signal settings for left-turn intersections when optimizing the design of at-grade intersections. Furthermore, traditional methods are difficult to adapt to complex real-world operating environments and diverse design patterns, resulting in poor optimization effects.

⚗Method used

A simulation-based optimization approach for intersection geometry design and signal control is adopted. The simulation model directly outputs operational evaluation indicators, automatically adjusts the geometric structure and signal timing parameters, and uses the particle swarm optimization algorithm for interactive optimization to achieve the optimal solution under different scenarios.

🎯Benefits of technology

It simplifies the intersection optimization modeling process, adapts to diverse traffic environments, enables rapid and flexible comparison of optimization schemes, supports real-time dynamic optimization in complex traffic scenarios, and improves intersection operation efficiency.

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Abstract

This invention discloses a simulation-based collaborative optimization method for intersection geometry design and signal control, comprising: building an intersection optimization model and a simulation model; the intersection optimization model takes intersection traffic demand and geometric conditions as input and outputs decision variables related to intersection geometry design and signal control; the simulation model outputs operational evaluation indicators for the corresponding scheme; wherein, the simulation model automatically adjusts the decision variables of the intersection design scheme to the geometric structure and signal timing parameters in the simulation model, runs the simulation to obtain the optimization target value, and uses this value as the fitness value of the particle swarm optimization algorithm to update the decision variables of the current scheme; the updated variable value is then returned to the intersection optimization model, realizing scheme transfer and optimization improvement. According to this invention, the diversity of simulation output results is fully utilized, and the optimization target can be freely changed without modifying the upper-level model, improving the flexibility and optimization efficiency of the intersection optimization model.
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