An integrated decision-making method for locating parking centers of recyclable waste transportation vehicles

Feng, Jianghong; Xu, Su Xiu; Xu, Gangyan; Cheng, Huibing

doi:10.1016/j.tre.2021.102569

Cited by 18 publications

(5 citation statements)

References 77 publications

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“…Despite the city's growth, parking spaces still need to be available. As a result of this progress, other transportation challenges emerged in the city, including traffic jams, insufficient automobile parking facilities, and highway security concerns [7]. As a result of these issues, several intelligent parking solutions have been introduced in the market.…”

Section: Background and Historymentioning

confidence: 99%

IoT-based parking surveillance scheme: Emerging a smart, effective, and secured solution for urban parking management and performance improvement

Shankar,

Srinivas,

Kodati

et al. 2024

MATEC Web Conf.

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Parking spots have become a prevalent concern in urban growth. The number of automobiles is increasing faster than accessible parking spaces. This problem is addressed by implementing an Internet of Things (IoT)-based Parking Surveillance Scheme (IoT-PSS) for the smart campus. The system aims to efficiently match vehicles with available parking spaces, resulting in time savings, improved parking space usage, reduced management expenses, and decreased traffic congestion. Edge computing provides a new answer to data processing in monitoring systems by using advancements in IoT, artificial intelligence, and transmission technologies to analyze data regionally at the edge. This research explores the viability of using edge computing for smart parking monitoring, focusing on detecting parking occupancy via a real-time video stream. The structure operating pipeline to prioritize adaptability, online surveillance, data transfer, detection precision, and system dependability. The experimental findings show that the final detection approach achieves more than 95% accuracy in real-world situations with outstanding effectiveness and reliability. The IoT-PSS system is essential for smart cities and is a strong basis for future use in smart transportation networks.

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Section: Background and Historymentioning

confidence: 99%

IoT-based parking surveillance scheme: Emerging a smart, effective, and secured solution for urban parking management and performance improvement

Shankar,

Srinivas,

Kodati

et al. 2024

MATEC Web Conf.

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show abstract

“…The radar deployment problem is also related to the site selection problem, which focuses on finding the optimal location from the given candidate locations under the given capital budget and finite resources. The site selection problem has attracted plenty of attention from different fields, such as agriculture [44][45][46], logistics [47][48][49], and transportation [50][51][52]. The detailed review can be referred to [53] since the investigated radar deployment problem belongs to the maritime or marine field.…”

Section: Literature Reviewmentioning

confidence: 99%

Deployment of Remote Sensing Technologies for Effective Traffic Monitoring

Chen,

Qi,

et al. 2023

Remote Sensing

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A rising volume of vessel traffic increases navigation density, which leads to an increasing risk of vessel collisions in navigation channels. Navigation safety issues have been widely studied with the aim of reducing such collisions. Intelligent navigation channels, which involve deploying remote-sensing radars on buoys, are an effective method of tackling vessel collisions. This paper investigates the problem of radar deployment in navigation channels, aiming to expand the radar coverage area and effectively detect vessel locations. A mixed-integer linear programming model is formulated to determine the optimal deployment of radars in navigation channels under a given budget, where radars with different coverage radii and different types of buoys are introduced. Then, sensitivity analyses involving the impacts of budgets, the coverage radii of the radars, the distance between adjacent discrete locations, and the distribution of the existing buoys on the radar deployment plan are conducted. The computational results indicate that the coverage ratio of the navigation channel can be improved by reasonably deploying the different types of radars on the existing and new buoys under a given budget.

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“…It recommends effective strategies for managing cross-sector collaboration for CSCM such as supportive government regulations and policies, collaborative value creation, and applying Industry 4.0 technologies. Feng et al (2022) develop an integrated multi-criteria decision-making (MCDM) method for managing recyclable waste transport vehicles. The research is motivated by the need of optimizing parking locations for recyclable waste transport in a Chinese city.…”

Section: Insights On Logistics and Scm For A Cementioning

confidence: 99%

Special issue Editorial: Logistics and supply chain management in an era of circular economy

Zhang

Hartley

Wang

et al. 2022

Transportation Research Part E: Logistics and Transportation Re

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An integrated decision-making method for locating parking centers of recyclable waste transportation vehicles

Cited by 18 publications

References 77 publications

IoT-based parking surveillance scheme: Emerging a smart, effective, and secured solution for urban parking management and performance improvement

IoT-based parking surveillance scheme: Emerging a smart, effective, and secured solution for urban parking management and performance improvement

Deployment of Remote Sensing Technologies for Effective Traffic Monitoring

Special issue Editorial: Logistics and supply chain management in an era of circular economy

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