Isbn: 9786206686866 - adaptive traffic control system: traffic flow prediction is a key part and core content of intelligent transportation system (8 risultati)

Condizione: New.

Taschenbuch. Condizione: Neu. Adaptive Traffic Control System | Traffic Flow Prediction is a Key Part and Core Content of Intelligent Transportation System | G. Malini Devi | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206686866 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Condizione: New. Print on Demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Traffic flow prediction is a key part and core content of intelligent transportation system as well as the important basis for transportation information service, traffic control and guidance. Forecasting timely and accurately is premise of the intelligent transportation system realizing traffic management. Cross-road are the key component of transportation network. To solve this problem of dynamic traffic controlling we are using IoT and data mining techniques. The basic idea is to capture the density of the traffic in a particular lane using image capturing device. Taking this image as an input to the Mat lab we then convert this particular image into a grayscale image where we identify the density of traffic using intensity levels thereby controlling the traffic signals dynamically either by increasing or decreasing the timing of a signal. The objective of our system is to reduce the average waiting time that each vehicle has to wait, before it is allowed to pass, while also enduring uniformity in the waiting times. 64 pp. Englisch. …

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Traffic flow prediction is a key part and core content of intelligent transportation system as well as the important basis for transportation information service, traffic control and guidance. Forecasting timely and accurately is premise of the intelligent transportation system realizing traffic management. Cross-road are the key component of transportation network. To solve this problem of dynamic traffic controlling we are using IoT and data mining techniques. The basic idea is to capture the density of the traffic in a particular lane using image capturing device. Taking this image as an input to the Mat lab we then convert this particular image into a grayscale image where we identify the density of traffic using intensity levels thereby controlling the traffic signals dynamically either by increasing or decreasing the timing of a signal. The objective of our system is to reduce the average waiting time that each vehicle has to wait, before it is allowed to pass, while also enduring uniformity in the waiting times.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Traffic flow prediction is a key part and core content of intelligent transportation system as well as the important basis for transportation information service, traffic control and guidance. Forecasting timely and accurately is premise of the intelligent .…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Traffic flow prediction is a key part and core content of intelligent transportation system as well as the important basis for transportation information service, traffic control and guidance. Forecasting timely and accurately is premise of the intelligent transportation system realizing traffic management. Cross-road are the key component of transportation network. To solve this problem of dynamic traffic controlling we are using IoT and data mining techniques. The basic idea is to capture the density of the traffic in a particular lane using image capturing device. Taking this image as an input to the Mat lab we then convert this particular image into a grayscale image where we identify the density of traffic using intensity levels thereby controlling the traffic signals dynamically either by increasing or decreasing the timing of a signal. The objective of our system is to reduce the average waiting time that each vehicle has to wait, before it is allowed to pass, while also enduring uniformity in the waiting times.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.…