An efficient smart parking pricing system for smart city environment: A machine-learning based approach

Saharan, Sandeep; Kumar, Neeraj; Bawa, Seema

doi:10.1016/j.future.2020.01.031

Cited by 75 publications

(21 citation statements)

References 23 publications

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“…(2) Finding an unoccupied parking slot by the interested vehicle owners with the least overhead becomes an NP-hard problem bounded by various constraints [14]. Therefore, it is necessary to continue to improve the Dijkstra algorithm and improve the time complexity of the algorithm…”

Section: Discussionmentioning

confidence: 99%

Design and Implementation of the Optimization Algorithm in the Layout of Parking Lot Guidance

Liu

Yang

et al. 2021

Wireless Communications and Mobile Computing

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The information guidance system for parking spaces in large- and medium-sized parking lots is not efficient at present. It tends to be difficult to find an empty parking space in parking lots in big cities. One of the problems is the large amount of calculation in the traditional Dijkstra algorithm. In this paper, an improved Dijkstra algorithm is presented and optimized to find the best parking path with the purpose of looking for the nearest free parking space based on the layout model in parking lot parking guidance. The experiments show that the improved Dijkstra algorithm can find the optimal parking space and the optimal parking path and improve the parking efficiency.

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Section: Discussionmentioning

confidence: 99%

Design and Implementation of the Optimization Algorithm in the Layout of Parking Lot Guidance

Liu

Yang

et al. 2021

Wireless Communications and Mobile Computing

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“…It automatically implies that these systems improve autonomously over time, without human intervention. In practice, it is used, for example, to predict urban traffic, make medical pre-diagnoses based on patient symptoms, or detect intrusions in a data communications network [82,83].…”

Section: Related Conceptsmentioning

confidence: 99%

IoT Technology Applications-Based Smart Cities: Research Analysis

et al. 2020

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The development of technologies enables the application of the Internet of Things (IoT) in urban environments, creating smart cities. Hence, the optimal management of data generated in the interconnection of electronic sensors in real time improves the quality of life. The objective of this study is to analyze global research on smart cities based on IoT technology applications. For this, bibliometric techniques were applied to 1232 documents on this topic, corresponding to the period 2011–2019, to obtain findings on scientific activity and the main thematic areas. Scientific production has increased annually, so that the last triennium has accumulated 83.23% of the publications. The most outstanding thematic areas were Computer Science and Engineering. Seven lines have been identified in the development of research on smart cities based on IoT applications. In addition, the study has detected seven new future research directions. The growing trend at the global level of scientific production shows the interest in developing aspects of smart cities based on IoT applications. This study contributes to the academic, scientific, and institutional discussion to improve decision making based on the available information.

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“…The proposed MODM-RPCP method has been simulated and its performance evaluated in Network Simulator version 2 (NS-3) running on Linux Ubuntu 18.04 LTS. The results were compared with both methods (ODPP [14] and MOGWOLA [16][17][18][19][20][21][22][23][24][25]).…”

Section: Performance Metricsmentioning

confidence: 99%

An Intelligent Parking Management System using RFID Technology based on User Preferences

Shimi¹,

Mr²,

Ma³

2020

Preprint

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Due to the tremendous progress in the automotive industry, the growth of the urban population, the number of vehicles is increasing and this creates parking challenges. Intelligent parking management systems offer an optimal solution for finding empty parking space so that drivers can quickly find their car parking space. To solve these problems, it is necessary to design an intelligent parking system, in addition to providing comfort to drivers, which is also economically viable. This paper proposes an intelligent multi-storey car parking system with the help of RFID technology and examining user preferences that can effectively solve car parking problems. The proposed method is a multi-objective decision-making method to reduce the problem of car parking, which is called MODM-RPCP. Therefore, the proposed MODM-RPCP method can allocate the best space for their stopping place by using the decision-making system and based on the priorities considered by the users. The simulation results show that the MODM-RPCP reduces the average booking time more than 19.2% and 27.1%, and decreases the response time of central parking management server more than 20.1% and 29.78% compared to MOGWOLA and ODPP approaches.

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An efficient smart parking pricing system for smart city environment: A machine-learning based approach

Cited by 75 publications

References 23 publications

Design and Implementation of the Optimization Algorithm in the Layout of Parking Lot Guidance

Design and Implementation of the Optimization Algorithm in the Layout of Parking Lot Guidance

IoT Technology Applications-Based Smart Cities: Research Analysis

An Intelligent Parking Management System using RFID Technology based on User Preferences

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