ISBN: 9786207997237 - efficient traffic management with iot technology: iot application (10 Ergebnisse)

Zustand: New.

Zustand: New.

Taschenbuch. Zustand: Neu. Efficient Traffic Management with IoT Technology | IoT Application | M. Arun Kumar | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786207997237 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the past, numerous automobiles were impacted by traffic congestion, primarily due to mechanical failures in the engine and accidents. This can now be addressed through the following techniques. We employ sensors to identify traffic congestion, which will also decrease travel time. The primary benefit of technology is to eliminate the need for human intervention and to automatically alleviate traffic congestion. An autonomous traffic jam avoidance strategy is employed, demonstrating greater efficiency than the manual approach. This system proposes a novel context-aware methodology to ascertain the present traffic status and density, alongside the dynamic management of traffic signals in relation to environmental conditions. The system employs advanced technologies for the real-time collection, organization, and transfer of information to deliver an efficient and precise assessment of traffic density, which may be utilized by traffic-aware apps.…

Zustand: New. Print on Demand.

Zustand: New. PRINT ON DEMAND.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the past, numerous automobiles were impacted by traffic congestion, primarily due to mechanical failures in the engine and accidents. This can now be addressed through the following techniques. We employ sensors to identify traffic congestion, which will also decrease travel time. The primary benefit of technology is to eliminate the need for human intervention and to automatically alleviate traffic congestion. An autonomous traffic jam avoidance strategy is employed, demonstrating greater efficiency than the manual approach. This system proposes a novel context-aware methodology to ascertain the present traffic status and density, alongside the dynamic management of traffic signals in relation to environmental conditions. The system employs advanced technologies for the real-time collection, organization, and transfer of information to deliver an efficient and precise assessment of traffic density, which may be utilized by traffic-aware apps.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.…