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Directive transportation in smart cities with line connectivity at distinctive points using mode control algorithm.

Shitharth Selvarajan1, Hariprasath Manoharan2, Alaa O Khadidos3,4

  • 1School of Built Environment, Engineering and Computing, Leeds Beckett University, LS1 3HE, Leeds, UK. ShitharthS@kdu.edu.et.

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Summary
This summary is machine-generated.

This study introduces an intelligent transport system to reduce smart city traffic congestion. The proposed model optimizes public transit, significantly cutting user wait times and improving traffic flow.

Keywords:
Mode controlPoint to point protocolSmart cityTransportations

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Area of Science:

  • Intelligent Transport Systems
  • Smart City Development
  • Operations Research

Background:

  • Rapid urbanization in smart cities exacerbates traffic congestion.
  • Efficient public transit is crucial for managing urban mobility and population growth.
  • Existing systems face challenges in minimizing user wait times and ensuring seamless transit operations.

Purpose of the Study:

  • To develop and evaluate an intelligent transport system for enhancing smart city functionality.
  • To reduce traffic congestion and minimize end-user waiting periods.
  • To improve the operational efficiency of public transit systems.

Main Methods:

  • Utilized parametric design models integrating point-to-point protocol and mode control optimization.
  • Applied multi-objective parametric design with min-max functions to minimize waiting times.
  • Incorporated line following mechanisms for connectivity, identification, and revitalization functions.

Main Results:

  • The proposed system achieved a 96% suitable directional flow for smart transport units.
  • Delays were reduced by 2%, and waiting periods decreased by 6%.
  • Energy consumption increased by 29% due to system enhancements.

Conclusions:

  • The intelligent transport system effectively enhances smart city mobility by reducing congestion.
  • The optimized design significantly improves user experience through decreased waiting times.
  • Further research may explore energy efficiency trade-offs for sustainable smart city transit.