A Mathematical Model for Urban Traffic and Traffic Optimization Using a Developed ICA Technique

Khorani, Vahid; Razavi, Farzad; Disfani, V. Rasooli

doi:10.1109/tits.2011.2127475

Cited by 19 publications

(8 citation statements)

References 14 publications

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“…A recently developed Imperialist Competitive Algorithm (ICA) is employed [23]. Using ICA algorithm, an objective function will be minimized and the optimum switching angles will be determined.…”

Section: Switching Strategymentioning

confidence: 99%

A new low cost cascaded transformer multilevel inverter topology using minimum number of components with modified selective harmonic elimination modulation

Khounjahan

Banaei

Farakhor

2015

Ain Shams Engineering Journal

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In this paper, a novel cascaded transformer multilevel inverter is proposed. The number of the switching devices is reduced in the proposed topology. This topology comprises of a DC source, several single phase low-frequency transformers, two main power switches and some bidirectional switching devices. In this topology, only one bidirectional switch is employed for each transformer. However, in conventional cascaded transformer multilevel inverter, four switching devices are required for each transformer. Therefore, more output voltage levels can be obtained using fewer switching components. Reduction in the number of switching devices which also means reduction in the number of gate drivers results in smaller size and low implementation cost. Switching power losses are also reduced in this topology. Selective harmonic elimination (SHE) technique is applied to the proposed inverter to obtain a high quality output voltage. Simulation and experimental results are also provided to verify the feasibility of the proposed converter.Ó 2014 Production and hosting by Elsevier B.V. on behalf of Ain Shams University.

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Section: Switching Strategymentioning

confidence: 99%

A new low cost cascaded transformer multilevel inverter topology using minimum number of components with modified selective harmonic elimination modulation

Khounjahan

Banaei

Farakhor

2015

Ain Shams Engineering Journal

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“…Recently, deep learning methods applied to smart city techniques have attracted attention from numerous researchers, which include Dotoli at el. [33] who proposed a mathematical model for a signal timing plan, Du et al [34] and Puri et al [35] who presented knowledge discovery with ordinance mining, Khorani et al [36] who presented big data analysis techniques for the traffic optimization problem, Lv et al [37] who proposed big data analysis techniques for traffic flow prediction, de Melo and Varde [38] who proposed a scalable learning scheme.…”

Section: Previous Researchesmentioning

confidence: 99%

Temporal Impulse of Traffic Accidents in South Korea

Shin

Lee

2020

IEEE Access

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With the emergence of urban computing technology, the development of smart cities has gained much attention as a means to improve citizens' quality of life. As traffic accidents constitute a major problem that affects the quality of life, an effective solution to address this problem can significantly increase the level of intelligence of smart cities. This paper presents the development of a mathematical model for accurate analysis of big data to promote the effectiveness of policy decisions, thereby largely advancing the intelligent transportation systems (ITS) of smart cities. Temporal impulse was designed as a novel and measurable quantity to analyze traffic accidents by identifying the hidden patterns, such as varying causes and diverging impacts of traffic accidents. Based on the big data produced by the South Korean National Police Agency, we analyzed traffic accidents over three years by applying the temporal impulse. The research results suggested that the temporal impulse not only helped in identifying the varying influence of weather and driver conditions but also facilitated the establishment of sophisticated policies in the implementation of smart cities with the use of urban computing technology. As presented in the section VII, our simulation outputs indicated that our temporal model was predictive within the parameter space comprising driver's dynamic behaviors, day of the week, and environmental factors including weather, road surface condition, and road type. INDEX TERMS Big data, traffic accident data, intelligent transportation systems, smart city technology, stochastic process, time series, and temporal impulse.

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“…WAVE was also designed for safety applications like vehicle stationary warning, vehicle emergency warning, hazardous location notification, roadwork warning, collision prevention, and so on. Khorani et al 22 introduced the imperialist competitive algorithm (ICA) for urban traffic and traffic optimization. This model allows a manual change in a coefficient called the escape route to minimize the number of cars on the underlying roads.…”

Section: Related Workmentioning

confidence: 99%

The importance of public support in the implementation of green transportation in the smart cities

Mao

Sun

et al. 2020

Computational Intelligence

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Smart cities are increasingly evolving, initializing new strategies, and programs that have a significant influence on policy making and scheduling while coexisting with urban facilities. To recognize urban planning offers to a smarter city context, it is now necessary to understand the contribution of the smart city in overall urban planning and vice versa. Currently, transportation has been seen as a connection to all aspects of life across the world. This article presents the results of a survey testing into whether the public supports the concept of green transportation in the smart cities. The green urban mobility model has been proposed to investigate urban traffic information to characterize important features of smart mobility in the smart cities. The development of intelligent transportation systems using the proposed model that makes traffic easier in the city to transport safe and more comfortable. The experimental results suggest the required factors of green transportation and realistic behavior of smart mobility.

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A Mathematical Model for Urban Traffic and Traffic Optimization Using a Developed ICA Technique

Cited by 19 publications

References 14 publications

A new low cost cascaded transformer multilevel inverter topology using minimum number of components with modified selective harmonic elimination modulation

A new low cost cascaded transformer multilevel inverter topology using minimum number of components with modified selective harmonic elimination modulation

Temporal Impulse of Traffic Accidents in South Korea

The importance of public support in the implementation of green transportation in the smart cities

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