Smart City Intelligent System Traffic Congestion Optimization using Internet Of Things

TL;DR

This paper surveys heuristic optimization techniques for traffic congestion control in smart cities, introduces a River Formation Dynamics approach, and presents an IoT-based real-time data extraction scheme to improve traffic management efficiency.

Contribution

It introduces a novel River Formation Dynamics scheme for traffic optimization and an IoT-based real-time data collection method, enhancing existing heuristic approaches.

Findings

River Formation Dynamics improves traffic congestion solutions.

IoT-based data extraction enhances real-time traffic management.

Survey of heuristic techniques provides comprehensive overview.

Abstract

The raising level of traffic imposes a great demand in the growth of intelligent traffic systems. With increase in complexity of alleviation, finding solutions to traffic congestion problem have become one of the challenges. Various optimization techniques have been proposed in literature to meet these challenges. This paper surveys different optimization techniques based on heuristics for automated traffic congestion control. Moreover, an approach based on River Formation Dynamics scheme is introduced to analyze the optimization problem for traffic congestion control and a scheme to extract real time information through Internet of Things is presented for superior efficiency and productivity.