MODEL AND ALGORITHM FOR SOLVING PROBLEMS OF TRAFFIC FLOW DYNAMICS WITH RATIONAL LOCATION OF GAS STATIONS

This study presents a framework, incorporating an algorithm, informational-logic, and finite-difference methodologies, aimed at addressing traffic flow dynamics challenges within urban street networks, specifically for gas station management systems. The author examines the outcomes of implementing these approaches, focusing on scenarios where gas station networks are strategically positioned. This research aims to investigate the ways traffic flows are modeled within a city’s street and road network. It will pinpoint issues in their practical application and deployment in today’s context, considering urban evolution, operational dynamics, and the populace’s experience. The study will also consolidate insights derived from established traffic flow modeling approaches within urban road networks. The analysis will encompass the identification and assessment of challenges addressable through the methodologies of traffic flow theory. The objective is to outline how these methods can contribute to enhancements in vehicular movement along a city’s principal thoroughfares.