Abstract:
Technology has increased mobility and dynamics. Thus, intersection management (IM)—one of the transportation sector’s most important components—requires special attention. Today, infrastructures, vulnerable road users (VRUs) like motorcycles, mopeds, scooters, pedestrians, bicycles, and other vehicles like trucks, buses, cars, emergency vehicles, and railway vehicles like trains and trams can communicate cooperatively using vehicle-to-everything (V2X) communications to improve traffic safety, efficiency, infotainment, and ecology.
This project surveys intersection management methods for heterogeneous connected vehicles (CVs) at signalized, semi-autonomous (hybrid), and autonomous intersections. We consider road, rail, and VRUs like bicycles, scooters, and motorcycles. Discussed are all intersection goals, modeling, coordination architectures, and scheduling policies.
These parameters evaluate signalized and semi-autonomous intersections. In autonomous intersection management (AIM), we prioritize safety, efficiency, infotainment, and environment. Each intersection goal analyzes the relevant literature from the aforementioned perspectives.
From sensors, information management and sharing, planning universal scheme, heterogeneous collaboration, vehicle classification, quality measurement, external factors, intersection types, localization faults, communication anomalies and channel optimization, synchronization, vehicle dynamics and model mismatch, model uncertainties, recovery, security, and privacy, IM robustness and resiliency are examined.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
Did you like this final year project?
To download this project Code with thesis report and project training... Click Here
