Intelligent City Traffic Management and Public Transportation System
Intelligent Transportation System in case of cities is controlling traffic congestion and regulating the traffic flow. This paper presents three modules that will help in managing city traffic issues and ultimately gives advanced development in transportation system. First module, Congestion Detection and Management will provide user real time information about congestion on the road towards his destination, Second module, Intelligent Public Transport System will provide user real time public transport information,i.e, local buses, and the third module, Signal Synchronization will help in controlling congestion at signals, with real time adjustments of signal timers according to the congestion. All the information that user is getting about the traffic or public transportation will be provided on users day to day device that is mobile through Android application or SMS. Moreover, communication can also be done via Website for Clients having internet access. And all these modules will be fully automated without any human intervention at server side.
Code (0)
등록된 구현이 없습니다.
Tasks
ManagementSimilar Papers 제목 키워드 기반
Video Detector: A Dual-Phase Vision-Based System for Real-Time Traffic Intersection Control and Intelligent Transportation Analysis
Urban traffic management increasingly requires intelligent sensing systems capable of adapting to dynamic traffic conditions without costly infrastructure modifications. Vision-based vehicle detection has therefore becom…
Multi-Object TrackingA Physical Testbed for Intelligent Transportation Systems
Intelligent transportation systems (ITSs) and other smart-city technologies are increasingly advancing in capability and complexity. While simulation environments continue to improve, their fidelity and ease of use can q…
Data VisualizationManagementV2X communication coverage analysis for connected vehicles in intelligent transportation networks: A case study for the city of Xanthi, Greece
Intelligent transportation systems (ITS) have been developed to improve traffic flow, efficiency, and safety in transportation. Technological advancements in communication such as the Vehicle-to-Everything (V2X), Vehicle…
ManagementArtificial Intelligence in Traffic Systems
Existing research on AI-based traffic management systems, utilizing techniques such as fuzzy logic, reinforcement learning, deep neural networks, and evolutionary algorithms, demonstrates the potential of AI to transform…
Autonomous VehiclesEvolutionary AlgorithmsManagementTraffic Signal ControlA Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems
This survey paper explores the transformative influence of frontier AI, foundation models, and Large Language Models (LLMs) in the realm of Intelligent Transportation Systems (ITS), emphasizing their integral role in adv…
Autonomous VehiclesManagementText Generation