An adaptive agent digraph simulation for road traffic safety statue in bridge–tunnel groups

Zhou, Jibiao; Dong, Sheng; Bin, Yan; Zhang, Minjie; Yang, Renfa

doi:10.1177/1687814017715979

Cited by 2 publications

(4 citation statements)

References 18 publications

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“…In recent years, hazardous material transportation accidents in China have occasionally occurred [7,8]. From 2008, there have been many road transportation safety accidents involving extremely hazardous materials around the country.…”

Section: Introductionmentioning

confidence: 99%

“…The scenes of the above accidents are shown in Figure 1. The safety management of the road transportation of hazardous materials has attracted extensive attention from society [6][7][8]. Hazardous materials can not only cause considerable casualties and property losses, but also cause serious damage to the natural environment and ecological systems.…”

Section: Introductionmentioning

confidence: 99%

“…To avoid similar accidents, improving the professional quality and regulatory awareness of hazardous chemical transportation practitioners is important. This approach can reduce the accident rates and number of casualties associated with hazardous material transportation, and the safety risks of the route can be evaluated to select the route with the highest safety level and avoid densely The safety management of the road transportation of hazardous materials has attracted extensive attention from society [6][7][8]. Hazardous materials can not only cause considerable casualties and property losses, but also cause serious damage to the natural environment and ecological systems.…”

Section: Introductionmentioning

confidence: 99%

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Design of a Network Optimization Platform for the Multivehicle Transportation of Hazardous Materials

Dong

Zhou

2020

IJERPH

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With economic development, the volume of hazardous materials is increasing, and the potential risks to human beings and the natural environment are expanding. Road transportation has become the main mode of transportation for hazardous materials. Because of the specific characteristics of hazardous materials, if an accident occurs in the transportation process, it often causes mass casualties, serious property and socioeconomic damage, and damage to the ecological environment. Hence, transportation is an important part of the life cycle of hazardous materials. This paper designs an optimization platform for multidestination, multiterminal, and multivehicle networks that transport hazardous materials. The logistics module in TransCAD software is used to construct this platform. By identifying the effective transportation routes considering the transportation risk, sensitive target population, and transportation time of each road section, the entropy method can be used to fuse and obtain the comprehensive impedance value of each road section. Finally, the optimal transportation network of hazardous materials was obtained by the transportation network optimization algorithm in TransCAD. The platform can display the optimal transport program with data windows, text, and maps. The research results provide a reference for relevant departments to scientifically manage the transport of hazardous materials.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Design of a Network Optimization Platform for the Multivehicle Transportation of Hazardous Materials

Dong

Zhou

2020

IJERPH

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“…According to the theory of maximum entropy [38,[48][49][50], the entropy flow of vertex i is bounded as follows:…”

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confidence: 99%

Brittleness Evolution Model of the Supply Chain Network Based on Adaptive Agent Graph Theory under the COVID-19 Pandemic

Cao

Wang

2022

Sustainability

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The triggering of supply chain brittleness has a significant impact on enterprise benefits under attack from the COVID-19 pandemic. The complexity of the supply chain system, the uncertainty of the COVID-19 pandemic, and demand uncertainty have made the triggering and propagation of supply chain brittleness complicated. In this study, a brittleness evolution model based on adaptive agent graph theory has been constructed. The parameters of brittleness evolution, including brittleness entropy and the vertex state value, have been quantitatively designed, and the brittleness evolution model in which the adaptability of nodes is considered and is not considered is constructed. A simulation algorithm based on the integrated scheduling model of the supply chain has been established. Finally, the practicability of the proposed model and algorithm is demonstrated via a case study of an electronic supply chain network. The results indicate that the proposed model and algorithm can effectively analyze the brittleness evolution law of the supply chain under the impact of the COVID-19 pandemic, including the evolution law of the vertex state, the brittleness entropy of the vertex, the global entropy of brittleness, the seasonal evolution law of the supply chain brittleness, and the evolution law of the brittleness behavior.

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An adaptive agent digraph simulation for road traffic safety statue in bridge–tunnel groups

Cited by 2 publications

References 18 publications

Design of a Network Optimization Platform for the Multivehicle Transportation of Hazardous Materials

Design of a Network Optimization Platform for the Multivehicle Transportation of Hazardous Materials

Brittleness Evolution Model of the Supply Chain Network Based on Adaptive Agent Graph Theory under the COVID-19 Pandemic

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