The twenty-first century presents a number of urgent challenges, including global warming, and vehicle-to-vehicle (V2V) communication is one of the key components of an energy-efficient and sustainable transportation system. By adding distance sensors, our research elevates vehicle-to-vehicle (V2V) communication to a new level. This enables vehicles to share not only speed and distance information but also real-time instructions based on their proximity to other vehicles. This system of dynamic control minimizes emissions while optimizing fuel consumption. Beyond the efficiency of a single vehicle, our system uses LoRa technology to integrate with traffic light management. Our method, which treats every car as a node, gathers and analyzes data in the cloud to inform judgments about the length of red lights at intersections. This data-driven traffic analysis streamlines traffic, reduces needless stops, gives commuters time back, and improves overall fuel economy. The application of LoRa technology enhances our traffic analysis's accuracy and effectiveness. Because of its long range, LoRa enables wide-ranging and dependable communication between cars and cloud infrastructure. Because of this improved connectivity, traffic signal timings can be promptly and intelligently adjusted to reflect the dynamically changing patterns of vehicular flow. The end result is a precisely calibrated traffic management system that strategically reduces needless stops while simultaneously optimizing traffic flow and overall fuel efficiency, saving commuters valuable time. Our incorporation of LoRa technology is evidence of the revolutionary potential of sophisticated communication protocols in generating thoughtful and flexible responses to modern transportation problems. To put it briefly, our study offers a novel and comprehensive use of vehicle-to-vehicle (V2V) communication, utilizing LoRa and distance sensors to solve energy-saving issues and transform traffic control for a more environmentally friendly transportation future.
Vehicle to Vehicle Communication and Smart Traffic Management Using LoRa
Lect. Notes in Networks, Syst.
International Conference on Recent Trends in Computing ; 2024 ; Delhi, India July 05, 2024 - July 06, 2024
Proceedings of International Conference on Recent Trends in Computing ; Kapitel : 9 ; 119-131
24.03.2025
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Autopilot Unmanned Smart Boat Vehicle (AUSV) Communication with LoRa RFM95
BASE | 2020
|Autopilot Unmanned Smart Boat Vehicle (AUSV) Communication with LoRa RFM95
DOAJ | 2020
|A Review on Smart Road Traffic Management System Using LoRa WAN
Springer Verlag | 2022
|Europäisches Patentamt | 2022
|