Revitalizing Urban Mobility:A Comprehensive Analysis of Traffic Flow and Sustainable Solutions at the Un-signalized Taxila Intersection

Abstract

In recent years, traffic congestion has become one of many cities’ most significant financial and ecological concerns worldwide. It also costs citizens a substantial amount of time and fuel. Many experts believe that identifying traffic congestion characteristics is the first step in reducing traffic congestion. This study aimed to determine the extent of traffic congestion and fuel consumption at Taxila Chowk. The research’s primary methodological tools were a traffic volume survey and peak hour volume study using Aimsun software. According to this study, auto-rickshaws, bicycles, motorcycles, and trucks were the most common modes of transportation. Traffic flow is particularly heavy in the morning, noon, and evening hours. It was revealed that the H.M.C. road is the most congestion-prone route compared to the other four routes. Also, the distinctive design of rickshaws and bus stands and the misplacement of fruit and vegetable markets play a considerable role in Congestion. The level of service of the four routes is almost intolerable, and the sole P.O.F. road that offered comparable better services to city commuters is an acceptable illustration. The study has also identified the amount of fuel consumption on each route, focused on the environmental impact of Congestion due to emissions of green gasses, and provided feasible solutions in the form of alternatives.

Keywords

• Congestion
• Simulation
• Smart Technology
• Internet of Things (IoT)
• smart cities
• Fuel Consumption