Abstract
Current traffic signals in Jordan suffer from severe congestion due to many factors, such as the considerable increase in the number of vehicles and the use of fixed timers, which still control existing traffic signals. This condition affects travel demand on the streets of Jordan. This study aims to improve an intelligent road traffic management system (IRTMS) derived from the human community-based genetic algorithm (HCBGA) to mitigate traffic signal congestion in Amman, Jordan’s capital city. The parameters considered for IRTMS are total time and waiting time, and fixed timers are still used for control. By contrast, the enhanced system, called enhanced-IRTMS (E-IRTMS), considers additional important parameters, namely, the speed performance index (SPI), speed reduction index (SRI), road congestion index (Ri), and congestion period, to enhance IRTMS decision. A significant reduction in congestion period was measured using E-IRTMS, improving by 13% compared with that measured using IRTMS. Meanwhile, the IRTMS result surpasses that of the current traffic signal system by approximately 83%. This finding demonstrates that the E-IRTMS based on HCBGA and with unfixed timers achieves shorter congestion period in terms of SPI, SRI, and Ri compared with IRTMS.
Highlights
The concept of a smart city started in the early 1990s with the introduction of emerging technologies [1], such as mobile phones, wireless networks, the Global Positioning System (GPS), and the Internet of things [2]
This study aims to improve an intelligent road traffic management system (IRTMS) derived from the human community-based genetic algorithm (HCBGA) to mitigate traffic signal congestion in Amman, Jordan’s capital city
This finding demonstrates that the E-IRTMS based on HCBGA and with unfixed timers achieves shorter congestion period in terms of speed performance index (SPI), speed reduction index (SRI), and road congestion index (Ri) compared with IRTMS
Summary
The concept of a smart city started in the early 1990s with the introduction of emerging technologies [1], such as mobile phones, wireless networks, the Global Positioning System (GPS), and the Internet of things [2]. These technologies are examples of the core principles of an intelligent city. They were introduced to companies and government agencies to improve quality of life and ensure the effective mobility of people and goods. WSNs consist of a small group of low-cost sensor nodes that communicate with one another with certain memory, energy, and processing power constraints imposed in wireless form [3].
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