Multi-Objective Optimization for path planning: Comparing MOAstar to MOACO, older adults case study

As populations age, many older adults face increasing difficulty moving safely and comfortably through their cities due to challenges such as limited walking endurance, steep slopes, poor lighting, and the need for regular rest. This project aims to improve pedestrian route planning by developing and comparing methods that generate routes adapted to older adults needs, considering factors such as distance, slope difficulty, and access to rest amenities. By testing these approaches on real urban environments in different countries, the project will contribute to safer, more comfortable, and more inclusive mobility for older adults. At the same time, it will strengthen the participating institutions expertise in intelligent transportation systems and data-driven urban mobility, support the training of highly qualified researchers, and advance research on inclusive, age-friendly mobility solutions.

Faculty Supervisor:

Bessam Abdulrazak

Student:

Partner:

Jönköping University

Discipline:

Computer science

Sector:

Transportation (excluding aerospace); Health and Related Sciences and Technology; Technology

University:

Université de Sherbrooke

Program: