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  • Optimization of Traffic Signal Timing through MATLAB: DE

    Optimization of Traffic Signal Timing through MATLAB by Kumar, Kaushal; Mishra, Umank; Panuriya, Adarsh;

    DE

      • GET 5% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 43.90
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        18 207 Ft (17 340 Ft + 5% VAT)
      • Discount 5% (cc. 910 Ft off)
      • Discounted price 17 297 Ft (16 473 Ft + 5% VAT)

    18 207 Ft

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    Availability

    printed on demand

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Publisher LAP Lambert Academic Publishing
    • Date of Publication 1 January 2024
    • Number of Volumes Großformatiges Paperback. Klappenbroschur

    • ISBN 9786207473281
    • Binding Paperback
    • No. of pages68 pages
    • Size 220x150 mm
    • Language English
    • 525

    Categories

    Long description:

    This book delves into the intricate domain of traffic signal timing synchronization, employing advanced methodologies facilitated by the versatile MATLAB tool. The paramount objective is to optimize traffic flow and mitigate congestion through a systematic approach to signal coordination. Recognizing the dynamic nature of urban traffic, a need arises for adaptive solutions that can respond to varying conditions in real-time. The MATLAB tool is chosen as a robust platform due to its flexibility and computational prowess. The book encompasses data collection from diverse traffic scenarios, considering factors such as traffic volume, intersection geometry, and temporal patterns. Leveraging this dataset, a sophisticated algorithm is developed within the MATLAB environment, aiming to synchronize traffic signal timings effectively. The algorithm integrates real-time traffic data to dynamically adjust signal phases, durations, and offsets, optimizing traffic flow and minimizing delays.

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