Distribution of demand for transport using artificial intelligence methods
Abstract
Enhancing the caliber of efforts in advancing transportation infrastructure, re-evaluating antiquated standards during the integration of contemporary information and communication technologies, ameliorating benchmarks and quality to align with global standards, assuring the security, acceptance, dependability, and endurance of transportation services, refining infrastructure, implementing adaptable tariffs and initiating novel and promising routes, the digitalization of the transportation system, and satisfying the entire gamut of demands for urban passenger transportation necessitate a range of targeted activities. The article illustrates an analytical scrutiny of optimization approaches. The peculiarity of their utilization is expounded, along with their advantages and disadvantages.