Wipaporn Kitthiphovanonth

Submitted: 01 February 2026 You are already at the latest version This study investigates the multi-criteria route optimization problem within complex urban expressway networks. The primary objective is to develop and evaluate a novel pathfinding approach by integrating a Delphi-AHP-weighted cost function into the A* algorithm, thereby dynamically balancing operational efficiency and public safety.

Submitted: 17 January 2026 You are already at the latest version To address the critical challenges of hazardous material (HAZMAT) incidents in dense urban areas, this study develops a hybrid framework for spatial emergency response optimization tailored for Intelligent Transport Systems (ITS). Our approach integrates the Fuzzy Analytic Hierarchy Process (FAHP) with a rigorous technical benchmarking of multiple navigation APIs to improve routing decisions under volatile Bangkok traf-fic.

Submitted: 31 December 2025 You are already at the latest version To enhance the crucial prompt and efficient emergency response on expressways, this research set out to develop a novel rescue route planning method. We implemented the A Algorithm*, with its cost function uniquely developed through the Delphi Tech-nique. This involved 17 experts who helped determine the weighted importance of factors like population density, resource readiness, and traffic fluidity in route selec-tion.