The Experts below are selected from a list of 8400 Experts worldwide ranked by ideXlab platform
Xiaojun Zheng - One of the best experts on this subject based on the ideXlab platform.
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CSCWD - Study on Optimal Routes of Multimodal Transport under Time Window Constraints
2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2019Co-Authors: Mengting Mei, Xiaojun ZhengAbstract:In actual Transportation processes, besides time windows requirements, waiting departure time caused by fixed schedules, also has an important influence on optimal Transport scheme for Multimodal Transport. In order to choose, scientifically and rationally, routes of Multimodal Transport network and modes of Transport, an optimal route selection model is established for minimizing total costs under constraints of mixed time windows. Considering the optimization efficiency brought by the chicken rank system, the chicken swarm optimization (CSO) is used to solve relevant examples with schedule constraints and no limited schedule. Optimization results show that under same time window constraints, costs with schedule constraints does not increase comparing that with no schedule constraints. In the result, effects of time window constraints and fixed schedule should be fully considered in actual determination of Multimodal Transport scheme.
Gao Peng - One of the best experts on this subject based on the ideXlab platform.
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Optimization for Resource Allocation Coordination on Multimodal Transport System on Container Terminal
Computer Simulation, 2009Co-Authors: Gao PengAbstract:A simulation-based optimization approach was proposed for coordination of resource allocation of Multimodal Transport system on container terminals. First, the simulation model of the Multimodal operation process on container terminal was established with queue network model based on queuing theory. And then, the mathematical programming model for coordination between operation effect and efficiency of resource utility was built. Next, the simulation optimization method was designed to solve this problem which combined heuristic search algorithm with simulation model. Finally, the effect of the proposed method was verified and analyzed with an actual example. The results show its feasibility for the coordination optimization on resource allocation of the Multimodal Transport system on the container terminals.
Mengting Mei - One of the best experts on this subject based on the ideXlab platform.
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CSCWD - Study on Optimal Routes of Multimodal Transport under Time Window Constraints
2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2019Co-Authors: Mengting Mei, Xiaojun ZhengAbstract:In actual Transportation processes, besides time windows requirements, waiting departure time caused by fixed schedules, also has an important influence on optimal Transport scheme for Multimodal Transport. In order to choose, scientifically and rationally, routes of Multimodal Transport network and modes of Transport, an optimal route selection model is established for minimizing total costs under constraints of mixed time windows. Considering the optimization efficiency brought by the chicken rank system, the chicken swarm optimization (CSO) is used to solve relevant examples with schedule constraints and no limited schedule. Optimization results show that under same time window constraints, costs with schedule constraints does not increase comparing that with no schedule constraints. In the result, effects of time window constraints and fixed schedule should be fully considered in actual determination of Multimodal Transport scheme.
Jing-ni Guo - One of the best experts on this subject based on the ideXlab platform.
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Simulation Study on Cascading Failure of Multimodal Transport Network
Journal of Advanced Transportation, 2020Co-Authors: Jing-ni Guo, Wei LiaoAbstract:Cascading failure in Multimodal Transport network may cause huge economic loss and social impact, which has gradually attracted public attention. In view of the coupling effect of nodes in Multimodal Transport network and the higher complexity of cascading failure process, the concepts of node correlation degree and node cooperation degree are proposed to characterize the characteristics of the network, and a logit model is introduced to calculate the initial load of nodes. In the case of ignoring network interruption, we propose two load redistribution methods: local allocation and global-local allocation. Taking the Multimodal Transport network in Sichuan–Tibet region of China as an example, the cascading failure effect of Multimodal Transport network in Sichuan–Tibet region is quantified by sensitivity analysis. The results show that when the load of the Multimodal Transport network in Sichuan–Tibet region exceeds the maximum capacity but does not exceed 150%∼170% of the network capacity, the network can still operate normally. In addition, the nodes in the Multimodal Transport network should have 0.3∼0.5 scalable space. In the cascading failure control method, load redistribution based on global-local allocation can minimize the impact of node overload.
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Risk control of the cascading failure of Multimodal Transport network considering uncertain disturbance factors1
Journal of Intelligent & Fuzzy Systems, 2020Co-Authors: Jing-ni Guo, Wei LiaoAbstract:The Multimodal Transport network in the region with complex environment and being easily affected by disturbance factors is used as the research object in our work. The characteristics of the cascading failure of such Multimodal Transport network were analyzed. From the perspective of network load redistribution, the risk control methods for the cascading failure of the Multimodal Transport network were investigated. This research aims to solve the problem that traditional load redistribution methods usually ignore the original-destination (OD) constraint and uncertain risks. The conditional value-at-risk (CVaR) was improved based on the Bureau of Public Roads (BPR) road impedance function to quantify the uncertainty of the disturbance factors. A nonlinear programming model was established with the generalized travel time as the objective function. A parallelly-running cellular ant colony algorithm was designed to solve the model. Empirical analysis was conducted on the Multimodal Transport network in Sichuan-Tibet region of China. The results of the empirical analysis verified the applicability of the proposed load redistribution method to such kind of regions and the effectiveness of the algorithm. This research provides theoretical basis and practical reference for the risk control of the cascading failure of Multimodal Transport networks in some regions.
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Cascade Failure Model in Multimodal Transport Network Risk Propagation
Mathematical Problems in Engineering, 2019Co-Authors: Jing-ni GuoAbstract:The cascade failure theory is introduced into the risk propagation problem of the Multimodal Transport network in order to study the inherent law of risk propagation and provide theoretical support for the safety management of Multimodal Transport networks. Firstly, this paper analyses the characteristics of the Multimodal Transport network and concludes that the risk of the Multimodal Transport network belongs to failure risk. Secondly, the applicability of cascade failure theory is expounded. Based on cascade failure theory, a risk propagation model of the Multimodal Transport network is established. Through simulation experiments, the risk propagation of the Multimodal Transport network is analyzed from the differences of node distribution and node type. The process is analyzed, and the results show that different node distributions and different types of risk source nodes will have an impact on the risk propagation process. The influence of four types of node distributions on the risk propagation effect is in the following order: increasing type > concave-convex type balanced type > decreasing type. The influence of four types of source nodes on the risk propagation effect is in the following order: Transportation type > Transporting type > storage type > assistant type.
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Research on risk propagation method of Multimodal Transport network under uncertainty
Physica A: Statistical Mechanics and its Applications, 1Co-Authors: Jing-ni Guo, Wei LiaoAbstract:Abstract Taking Multimodal Transport network as the research object, a quantitative method of risk propagation based on improved percolation theory is proposed. This paper analyzes the applicability and limitations of the percolation theory for this problem, and improves such four aspects of nodes and edges as the state, the initial load, the percolation probability and the evaluation index of percolation effect, so that they are universal to the risk propagation of the Transport network. Taking Sichuan-Tibet region as an example for empirical analysis, this paper simulates and analyzes the risk propagation law of the Multimodal Transport network under different attack types and load preferences. The results show that the risk propagation effect in the Multimodal Transport network will become stronger with the increase of attack scale and attack intensity, and it will show an exponential growth trend with the increase of attack scale. When other conditions are the same, the order of strength of the three kinds of attack law according to the risk propagation effect is: the intentional attack based on the loads > the random attack > the intentional attack based on the failure probability; the risk propagation effect of the load with preferences is stronger than that without preferences. Therefore, managers can control the risk of Multimodal Transport network in Sichuan and Tibet from the perspective of controlling attack types and balancing load preference. The research improves the method of risk propagation simulation, makes up for the shortcomings of existing research which neglects the subjectivity of load and the dynamics of risk propagation, and makes it closer to the reality, which is of strong practical value and theoretical significance.
Wei Liao - One of the best experts on this subject based on the ideXlab platform.
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Simulation Study on Cascading Failure of Multimodal Transport Network
Journal of Advanced Transportation, 2020Co-Authors: Jing-ni Guo, Wei LiaoAbstract:Cascading failure in Multimodal Transport network may cause huge economic loss and social impact, which has gradually attracted public attention. In view of the coupling effect of nodes in Multimodal Transport network and the higher complexity of cascading failure process, the concepts of node correlation degree and node cooperation degree are proposed to characterize the characteristics of the network, and a logit model is introduced to calculate the initial load of nodes. In the case of ignoring network interruption, we propose two load redistribution methods: local allocation and global-local allocation. Taking the Multimodal Transport network in Sichuan–Tibet region of China as an example, the cascading failure effect of Multimodal Transport network in Sichuan–Tibet region is quantified by sensitivity analysis. The results show that when the load of the Multimodal Transport network in Sichuan–Tibet region exceeds the maximum capacity but does not exceed 150%∼170% of the network capacity, the network can still operate normally. In addition, the nodes in the Multimodal Transport network should have 0.3∼0.5 scalable space. In the cascading failure control method, load redistribution based on global-local allocation can minimize the impact of node overload.
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Risk control of the cascading failure of Multimodal Transport network considering uncertain disturbance factors1
Journal of Intelligent & Fuzzy Systems, 2020Co-Authors: Jing-ni Guo, Wei LiaoAbstract:The Multimodal Transport network in the region with complex environment and being easily affected by disturbance factors is used as the research object in our work. The characteristics of the cascading failure of such Multimodal Transport network were analyzed. From the perspective of network load redistribution, the risk control methods for the cascading failure of the Multimodal Transport network were investigated. This research aims to solve the problem that traditional load redistribution methods usually ignore the original-destination (OD) constraint and uncertain risks. The conditional value-at-risk (CVaR) was improved based on the Bureau of Public Roads (BPR) road impedance function to quantify the uncertainty of the disturbance factors. A nonlinear programming model was established with the generalized travel time as the objective function. A parallelly-running cellular ant colony algorithm was designed to solve the model. Empirical analysis was conducted on the Multimodal Transport network in Sichuan-Tibet region of China. The results of the empirical analysis verified the applicability of the proposed load redistribution method to such kind of regions and the effectiveness of the algorithm. This research provides theoretical basis and practical reference for the risk control of the cascading failure of Multimodal Transport networks in some regions.
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Research on risk propagation method of Multimodal Transport network under uncertainty
Physica A: Statistical Mechanics and its Applications, 1Co-Authors: Jing-ni Guo, Wei LiaoAbstract:Abstract Taking Multimodal Transport network as the research object, a quantitative method of risk propagation based on improved percolation theory is proposed. This paper analyzes the applicability and limitations of the percolation theory for this problem, and improves such four aspects of nodes and edges as the state, the initial load, the percolation probability and the evaluation index of percolation effect, so that they are universal to the risk propagation of the Transport network. Taking Sichuan-Tibet region as an example for empirical analysis, this paper simulates and analyzes the risk propagation law of the Multimodal Transport network under different attack types and load preferences. The results show that the risk propagation effect in the Multimodal Transport network will become stronger with the increase of attack scale and attack intensity, and it will show an exponential growth trend with the increase of attack scale. When other conditions are the same, the order of strength of the three kinds of attack law according to the risk propagation effect is: the intentional attack based on the loads > the random attack > the intentional attack based on the failure probability; the risk propagation effect of the load with preferences is stronger than that without preferences. Therefore, managers can control the risk of Multimodal Transport network in Sichuan and Tibet from the perspective of controlling attack types and balancing load preference. The research improves the method of risk propagation simulation, makes up for the shortcomings of existing research which neglects the subjectivity of load and the dynamics of risk propagation, and makes it closer to the reality, which is of strong practical value and theoretical significance.