Campero Jurado, Manuel (INRIA), Canudas de Wit, Carlos (CNRS, GIPSA-Lab, Grenoble France), De Nunzio, Giovanni (IFP Energies nouvelles), Mourgues, Rémi (Gipsa-lab)

A General Graph-Based Optimization Framework for Improving Safety and Comfort in Cycling Networks

Scheduled for presentation during the Invited Session "Traffic Control and Connected Autonomous Vehicles: benefits for efficiency, safety and beyond (2 edition) I" (WeAT4), Wednesday, September 25, 2024, 11:10−11:30, Salon 8

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on October 7, 2024

Abstract

In this work, graph theory metrics are used to analyze the fundamental topological features of cycling networks in various municipalities throughout France. These metrics serve as a basis for approximating and predicting the perceived safety and comfort levels reported by cyclists in these areas through surveys. Expanding on this relationship, we formulate a topology optimization problem aimed at maximizing the predicted perceived safety and comfort while adhering to budgetary constraints. Due to the complexity of this problem, we propose a novel topology optimization algorithm. This innovative approach aligns graph theory concepts with real-world indicators, providing a general quantitative framework to support decision making in urban planning and resource allocation.