Intelligent Transportation System Real-Time Tracking

Abstract

Transportation systems, particularly bus networks, face numerous challenges stemming from uncertainty and long waiting times. These problems hinder the efficiency and effectiveness of public transportation, leading to inconveniences for commuters and suboptimal operations for transportation authorities. Uncertainty and long waiting times in transportation systems arise from various factors such as traffic congestion, unforeseen events, and inadequate information. This often leads to unpredictable bus arrival and departure times, leaving passengers waiting for extended periods at bus stops. Long waiting times not only inconvenience passengers but also discourage the use of public transportation, resulting in increased private vehicle usage, congestion, and environmental concerns. To address these issues, our project aims to develop strategies and technologies to reduce uncertainty and minimize waiting times in bus transportation systems. One approach involves leveraging intelligent transportation systems and real-time data to improve passenger experience. By integrating technologies like Global Positioning System tracking, advanced analytics, and mobile application development, passengers will have access to sufficient information to make informed decisions, reducing uncertainty and frustration associated with long waiting times.