Environmental Protection in Scenic Areas: Traffic Scheme for Clean Energy Vehicles Based on Multi-agent

Lei, Li; Liu, Wenting; Xiao, Lindi; Hui, Siu Cheung; Shi, Wang

doi:10.1007/s10614-017-9790-5

Cited by 8 publications

(5 citation statements)

References 25 publications

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“…e application of visual sensing technology in the environmental art design of scenic spots is not limited to a certain stage, but it is interspersed with the whole design process [23][24][25][26].…”

Section: Applicationmentioning

confidence: 99%

Use of Digital Twins‐Based Intelligent Navigation Visual Sensing Technology in Environmental Art Design of Scenic Spots

Sun¹,

Zhou²

2022

Advances in Civil Engineering

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The study expects to solve the bottleneck problem in the field of intelligent navigation visual sensing and build a network system of information physics, to achieve a visual sensor which can correspond the depth and color of a scene. It aims to improve the robustness and accuracy of color recognition of color structured light in a complex environment. Based on the digital twins (DTs) technology, the effective transformation of logistics process and physical entity to quasi-real-time digital image is realized. The omnidirectional vision sensing technology of a single viewpoint and the panoramic color volume structured light generation technology of a single emission point are integrated. The new active 3D panoramic vision sensor is achieved for which makes the current visual sensing technology developed into the visual perception of body structure. This technology is adopted in the preliminary design of environmental art in the scenic spot, and it can predict the design feasibility of environmental art in the scenic spot, avoid mistakes in decision-making to a great extent and save human and material resources. And also it can analyze and predict some possible dangerous situations, which can greatly improve the environmental safety factor of the scenic spot. In the improvement stage of environmental art design in the scenic spot, using active 3D vision sensing technology can obtain more comprehensive information and is more conducive to the selection of design schemes.

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Section: Applicationmentioning

confidence: 99%

Use of Digital Twins‐Based Intelligent Navigation Visual Sensing Technology in Environmental Art Design of Scenic Spots

Sun¹,

Zhou²

2022

Advances in Civil Engineering

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“…is method computes the Pearson-r correlation between two datasets. Equation (5) shows how the adjusted cosine pair similarity is calculated.…”

Section: Recommendation Abnormal Performance Of Coordinatedmentioning

confidence: 99%

“…However, it also needs to continuously formulate side jobs related to local customs according to the ow of people to continuously increase the income of the tourism industry. erefore, the performance of a scenic area is more critical, and it is related to whether the scenic area will continue to develop and whether it will continue to bring considerable economic bene ts to the local area [5]. At present, a large number of scenic spots have been developed in China, such as ancient villages or landscape gardens.…”

Section: Introductionmentioning

confidence: 99%

Early Warning and Management Method of Abnormal Performance of Tourist Scenic Spots Assisted by Image Recognition Technology

Song¹,

2022

Discrete Dynamics in Nature and Society

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Scenic area is a product of the improvement of living standards and the improvement of economic level. Many types of scenic spots have been developed in most areas. The development of scenic spots will affect the economic development level of a region, and it will also affect the living standards of local residents because the construction of scenic spots will consume a lot of financial and human resources. If the scenic area can be managed well, it will bring greater economic benefits to the local area. However, if the scenic area fails to operate, it can affect the local finances. This requires local managers to be able to grasp the development of the scenic area, which will avoid abnormal performance. However, the performance management of scenic spots is more difficult for local managers, and more cumbersome data will be involved here. This study uses the convolutional neural network (CNN) method to realize the image recognition technology of the characteristics of the scenic area’s flow of people and tourists’ preferences, and these characteristics will be displayed to the managers in the form of images. In this study, the collaborative filtering algorithm can be used to complete the active recommendation of abnormal performance of tourist scenic spots. This also enables CNN to achieve collaborative monitoring. The research results show that image recognition technology can better assist managers to manage the abnormal performance of scenic spots. CNN also has good accuracy in predicting related features such as the flow of people in scenic spots. The similarity index of the three features exceeds 0.9. This has achieved a high accuracy for anomaly detection of tourist attractions. The largest similarity index has reached 0.963.

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“…Respiratory and allergic diseases are getting common within young and older population, mostly because of gas emissions to the atmosphere. In order to solve these issues, this paper designs a M.A.S as Burmeister, et al,(1997) did in their research to demonstrate the applicability of M.A.S in traffic and transportation, as Kari, et al,(2014) whose work in 2014 shows the improvement of traffic using a M.A.S based on signal priority algorithm, and as Li, et al,(2018) did recently in 2018, whose paper shows a transportation simulation system for clean energy vehicles in scenic area based on multi-agent. From the view of introducing clean energy electric vehicles with limited funds and unlimited funds, they investigated the optimal introduction scheme and the optimal traffic scheme of clean energy vehicles in order to alleviate air pollution and tourist overcrowding.…”

Section: Related Workmentioning

confidence: 99%

CTRANSPORT: Multi-agent-based simulation

Sánchez

Pato

Gabriel

2019

ADCAIJ

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Electric vehicles; Multi-agent Systems;Ecofriendly Pollution nowadays is a really important issue that must be solved. Big cities suffer from overcrowding which result in traffic congestion and a lot of air pollution. Adapting to the idea of cities bike lane expansion, we design a Multi-agent simulation to distribute among the users green energy vehicles; concretely bikes, scooters and electric cars.

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Environmental Protection in Scenic Areas: Traffic Scheme for Clean Energy Vehicles Based on Multi-agent

Cited by 8 publications

References 25 publications

Use of Digital Twins‐Based Intelligent Navigation Visual Sensing Technology in Environmental Art Design of Scenic Spots

Use of Digital Twins‐Based Intelligent Navigation Visual Sensing Technology in Environmental Art Design of Scenic Spots

Early Warning and Management Method of Abnormal Performance of Tourist Scenic Spots Assisted by Image Recognition Technology

CTRANSPORT: Multi-agent-based simulation

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