Smart-City Intersection Optimization via Priority Bidding Mechanisms

Overview

Smart-City Intersection Optimization via Bid-Driven Signal Parameterization is a collaborative effort between the Illinois Mathematics and Science Academy (IMSA) and Southern Illinois University, Carbondale (SIUC). It provides the Priority Bidding Mechanism (PBM) for adaptive traffic signal control. Balancing efficiency, speed, and performance, PBM improves upon current algorithms for traffic signal control.

Above is an example simulation of 10x10 grid with 2 vehicles.

🚀 Getting Started

Prerequisites

• Python 3.8 or higher

• Install dependencies:

  pip install -r requirements.txt

Clone & Navigate

git clone https://github.com/LakshRP/Priority-Bidding-Mechanism-for-Smart-Intersections.git
cd Priority-Bidding-Mechanism-for-Smart-Intersections

Run Core Experiments

python code/main.py

This produces (in results/):

• Experiment 1: PBM vs. Fixed-Time

  • exp1_mean_q_pbm.csv
  • exp1_mean_q_fix.csv
  • exp1_queue_length.png

• Experiment 2: Runtime Scaling

  • exp2_vehicle_counts.csv
  • exp2_avg_times.csv
  • exp2_std_times.csv
  • exp2_runtime_scaling.png

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🔍 Sensitivity Analyses

python code/analytics.py grid_size      --sizes 2 4 6 8   --nveh 20 --duration 200 --trials 5
python code/analytics.py vehicle_count --grid 4            --counts 10 50 100 200 --duration 200 --trials 5
python code/analytics.py cycle_count   --grid 4 --nveh 20 --cycles 50 100 200 500 --duration 50 --trials 3

Outputs saved under results/analytics/ (CSV summaries and .png plots).

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📋 Requirements

numpy>=1.21
matplotlib>=3.4
networkx>=2.6

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📝 Paper & Documentation

• Manuscript: coming soon

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📄 License

This project is released under the MIT License. See LICENSE for details.

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👥 Authors

Laksh Patel (IMSA), Soham Batra (IMSA), Dr. Anas Alsobeh (SIUC), and Dr. Thomas Imboden (SIUC)