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SSRN 2024年

作者： Shen, Hao Zhang, Jin Sun, Wenjie Yang, Wenguang Li, Guoqi School of Transportation and Logistics Southwest Jiaotong University Sichuan Chengdu611756 China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Sichuan Chengdu611756 China National United Engineering Laboratory of Integrated and Intelligent Transportation Sichuan Chengdu611756 China School of Economics and Management Xinjiang University Xinjiang Urumqi844099 China

As an efficient management pattern to improve logistics efficiency and reduce logistics costs through intensive management of construction materials, construction logistic centers (CLCs) have received active attention from academics and practitioners. However, the CLC location–allocation problem, which considers periodic demand and transportation risk, has not been adequately solved. This work provides an approach to integrating transportation path risk into multi-period CLC location–allocation optimization for large-scale projects in complex environmental regions. For this purpose, we formulate a hybrid nonlinear integer planning model to define this location–allocation problem and minimize the total cost of construction logistics and transportation risk. The total cost includes transportation costs for project materials, construction, opening, closing, operating, and storage costs for the CLC. The model also incorporates critical features from realistic scenarios, including CLC’s service coverage, capacity constraints and minimum utilization limits, and transportation path risk. Then, we designed a NSGA-II based on endocrine hormone regulation (EHR-NSGA-II) to solve the model. Finally, a large-scale railroad construction project in complex environmental regions is used as an example to prove the effectiveness of the model and algorithm. Compared with the single-period model, the multi-period model designed in this paper provides a total cost reduction of 8.11% for the CLC location–allocation scheme, of which the operating cost is reduced by 63.72%. In addition, analyzing several key parameters provides valuable insights for managers to design more reliable construction logistics networks when facing different scenarios. © 2024, The Authors. All rights reserved.

关键词： Integer programming

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Managing Evacuation of Mixed Traffic Flow: Fleet Configuration, Lane Allocation, Lane Reversal, and Cross Elimination

SSRN

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SSRN 2022年

作者： Liu, Jialin Jiang, Rui Jia, Bin Liu, Yang Li, Xingang Wang, Ting Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport Beijing Jiaotong University Beijing100044 China Department of Industrial Systems Engineering and Management National University of Singapore Singapore117516 Singapore School of Automotive and Transportation Engineering Hefei University of Technology Hefei230009 China

Mixed traffic dynamic evacuation is a challenging task considering heterogeneous populations and traffic congestion. Based on a novel objective function of minimum evacuation network clearance time (ENCT), this paper proposes a mixed traffic dynamic evacuation planning (MTDEP) model, which determines both fleet demand and road supply management strategies, including mixed fleet configuration, lane allocation, lane reversal, and cross-elimination intersections. In this model, a road network is discretized into a multi-size cell network to load mixed traffic, and the holding-back problem of the relaxed CTM is eliminated by adding the penalty term. Then, the proposed model is linearized as a mixed-integer linear program, and a Kriging surrogate-based optimization (KSBO) algorithm is developed. Numerical experiments are conducted on a six-link network and the Sioux-Falls network to validate the effectiveness of our proposed model and solution method. The results show that: (a) the evacuation efficiency of using a mixed fleet is better than that of using a homogeneous fleet in a certain evacuation demand range;(b) while the collaborative management strategies could improve evacuation efficiency, they also take into account the evacuation fairness of the mixed fleet;and (c) the holding-back problem does not affect ENCT but increases the total travel time of all evacuees (ETTT), which should be completely eliminated. © 2022, The Authors. All rights reserved.

关键词： Kriging

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Describing traveler choice behavior using the free utility model

arXiv

引用

arXiv 2021年

作者： Wang, Hao Yan, Xiao-Yong Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport Beijing Jiaotong University Beijing100044 China Institute of Transportation System Science and Engineering Beijing Jiaotong University Beijing100044 China

Travel demand forecasting is an essential part of transportation planning and management. The four-step travel model is the traditional and most-common procedure utilized for travel demand forecasting, and many models have been proposed in the literature to describe each step separately. However, there is still a lack of a unified modeling framework that can successfully describe the collective choice behavior of travelers interacting with each other at different steps. This study uses the free utility model, whose objective function is mathematically consistent with the free energy in physics, to separately and simultaneously describe travelers' mode, destination, and route choice behaviors. The free utility model's basic assumption is that the travelers will trade off the expected utility and information-processing cost to maximize their own utility. This model provides not only a unified modeling framework for traveler choice behavior, but also provides an underlying explanation for the user equilibrium model in transportation science and the potential game model in game theory. © 2021, CC BY.

关键词： Free energy

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Characteristics of Pedestrian Dynamics in Narrow Aisles: Empirical Results

SSRN

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SSRN 2023年

作者： Fu, Zhijian Feng, Yujing Xiong, Xingwen Yang, Yunjia Luo, Lin Li, Jian School of Transportation and Logistics Southwest Jiaotong University PRC Chengdu611756 China National Engineering Laboratory for Integrated Transportation Big Data Application Technology Southwest Jiaotong University Chengdu611756 China National United Engineering Laboratory of Integrated and Intelligent Transportation Southwest Jiaotong University Chengdu611756 China China Academy of Safety Science and Technology Beijing100012 China

As an essential problem in non-equilibrium physics, the characteristics of pedestrian dynamics in narrow aisles have not been fully uncovered. Thus, in this study, we performed experiments with participants passing through narrow aisles with various widths under open boundaries. There is a transition from lateral to forward movement with the increase of aisle width, and the critical width is 0.30m, the average hip width of Chinese adults. Transforming from the lateral to forward movement, we observed that the deviation angles, step behaviors, and individual speed represent various features. With the aisle width rising from 0.20m to 0.30m, the jam relieves significantly. However, with the aisle width increasing from 0.30m to 0.35m, the flow efficiency improves little. This study contributes empirical results on movement in narrow aisles to pedestrian dynamics and provides basic inputs for pedestrian models and insights into the design of pedestrian facilities. © 2023, The Authors. All rights reserved.

关键词： Efficiency

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Ripple Effect in China-Europe Railway Transport Network: Operational Failure Risk Propagation and Influence

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SSRN 2022年

作者： Lyu, Min Shuai, Bin Zhang, Qinyu Li, Linqing School of Transportation and Logistics Southwest Jiaotong University China National United Engineering Laboratory of Integrated and Intelligent Transportation China National Engineering Laboratory of Integrated Transportation Big Data Application Technology China Market Monitoring and Evaluation Center National Railway Administration of China China School of Transportation and Logistics Southwest Jiaotong University No. 999 Xi'an Road Pidu District Chengdu611756 China

The practice of chain failure in transnational long-haul transport networks has received massive attention. However, less attention is paid to the operational failure risk propagation under the condition that the failed cargo flow need not or cannot be redistributed, which is common in the transportation mode with low flexibility over long distances. Taking the westbound China-Europe Railway transport network (CRN) as the research object, this paper points out the ripple effect phenomenon of forward and backward risk propagation, and novelly illustrates the relationship between flow and operational failure risk. Based on this, we construct a layered flow-risk network and propose a multi-group SIR-like model to delineate the risk propagation dynamics in CRN. Then, we develop an agent-based simulation under different scenarios to examine the effects of forward and backward risk propagation on network performance, moderated by node properties related to function, network topology, and network structure. The attributes of nodes have different impacts on network failures. The descending order is as follows: hubs of high centrality, transit change stations, destination stations, and departure Stations. It is of practical significance to distinguish between forward and backward risk propagation in CRN where eastbound-westbound cargo flow is seriously unbalanced. Forward risk propagation has a more considerable utility on the network's supply side, whereas backward risk propagation has a more considerable utility on the demand side of the network. Operators of China Europe Railway Express and managers of stations can determine early warning and investment priorities according to the supply-demand bias of the node position in the network. We further conduct a regression analysis to discuss the difference between CRN, supply chain network, and random network. We find that the current CRN is still in its infancy in terms of topology, which does not belong to any specific type.

关键词： Network performance

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Understanding and Detecting Privacy Leakage Vulnerabilities in Hyperledger Fabric Chaincodes 35

Understanding and Detecting Privacy Leakage Vulnerabilities ...

引用

35th IEEE International Symposium on Software Reliability engineering, ISSRE 2024

作者： Chen, Ziming Li, Yue Gao, Jianbo Zhang, Jiashuo Wang, Ke Hu, Jianbin Guan, Zhi Chen, Zhong Peking University School of Computer Science Beijing China Taiyuan University of Technology College of Computer Science and Technology Taiyuan China Beijing Jiaotong University Beijing Key Laboratory of Security and Privacy in Intelligent Transportation Beijing China Peking University Chongqing Research Institute of Big Data Chongqing China Peking University National Engineering Research Center for Software Engineering Beijing China

ISBN: (纸本)9798350353884

The application on a blockchain cannot maintain secrecy because its data is replicated across all peers in the network. To remedy this problem, Hyperledger Fabric introduces private data collection (PDC) into its smart contract (i.e. chaincode) to facilitate applications that require privacy. However, recent studies have revealed that PDC is too complex for chaincode developers to fully understand and use correctly, leading to privacy leaks vulnerabilities. In this paper, we present an empirical study on the prevalence of PDC misuse in chaincodes by extracting privacy leakage cases from StackOverflow posts and Hyperledger Fabric repositories on GitHub. Subsequently, we systematically categorize the misuse of PDC into three categories of vulnerabilities resulting in the leakage of private data and provide formal definitions for them. Furthermore, we develop PDChecker, an automated security analysis framework for identifying the privacy and security vulnerabilities in Fabric chaincodes. We evaluated PDChecker on 956 real-world chaincodes applying PDC and found that 67.78% of them contain at least one privacy leakage vulnerability. In addition, PDChecker uncovered 10 zero-day vulnerabilities documented by the China national Vulnerability database. © 2024 IEEE.

关键词： Differential privacy

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Joint optimization of train blocking and shipment path: An integrated model and a sequential algorithm

arXiv

引用

arXiv 2019年

作者： Chen, Chongshuang Zhao, Jun School of Mathematics Southwest Jiaotong University ChengduSichuan611756 China National Engineering Laboratory of Integrated Transportation Big Data Application Technology ChengduSichuan611756 China School of Transportation and Logistics Southwest Jiaotong University ChengduSichuan611756 China

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Sample-Driven Adaptive Feature Selection with Weighted Fuzzy Rough Sets

SSRN

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SSRN 2024年

作者： Yang, Xiaoling Chen, Hongmei Li, Tianrui Wan, Jihong Yao, Yiyu School of Computing and Artificial Intelligence Southwest Jiaotong University China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest Jiaotong University China Department of Computer Science University of Regina Regina Canada

The noise in data may debase the performance of the classification model. An intuitive assumption suggests that data samples with a higher local density tend to have a greater probability of being correctly classified. Moreover, there are differences in the importance of features, which should further increase the influence of important features on the classification task. Motivated by these issues, we propose a sample-driven adaptive feature selection method to mitigate the impact of noise and obtain the importance of features. Firstly, we propose a Weighted Fuzzy Rough Sets model (WFRS) by using the more reliable samples with high local density. Inspired by the large margin theory, we further obtain a specific fuzzy relation with the goal of maximizing the within-class fuzzy relation while minimizing the between-class fuzzy relation. The approximation margin is derived by applying the WFRS model within the original feature space. Feature weights are further obtained by utilizing the information derived from the approximation margin. On this basis, the weighted feature space is obtained that compresses the features with the lower weight and stretches the features with higher weight. An evaluation function of features is constructed by capturing the uncertainty of fuzzy positive and non-negative regions in the weighted feature space. A fuzzy rough feature selection algorithm (FSW) is designed by capturing the local structure of data. The weighted features are subsequently selected to facilitate the downstream classification tasks. Experimental results show the WFRS model's robustness, the effectiveness of FSW, and its superiority compared to alternative methods. © 2024, The Authors. All rights reserved.

关键词： Rough set theory

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On the Role of Non-Localities in Fundamental Diagram Estimation

arXiv

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arXiv 2023年

作者： Liu, Jing Zheng, Fangfang Yu, Boxi Jabari, Saif School of Transportation and Logistics National Engineering Laboratory of Integrated Transportation Big Data Application Technology National United Engineering Laboratory of Integrated and Intelligent Transportation Southwest Jiaotong University Western Hi-tech Zone Sichuan Chengdu611756 China Division of Engineering New York University Abu Dhabi Saadiyat Island PO Box 129188 Abu Dhabi United Arab Emirates

We consider the role of non-localities in speed-density data used to fit fundamental diagrams from vehicle trajectories. We demonstrate that the use of anticipated densities results in a clear classification of speed-density data into stationary and non-stationary points, namely, acceleration and deceleration regimes and their separating boundary. The separating boundary represents a locus of stationary traffic states, i.e., the fundamental diagram. To fit fundamental diagrams, we develop an enhanced cross entropy minimization method that honors equilibrium traffic physics. We illustrate the effectiveness of our proposed approach by comparing it with the traditional approach that uses local speed-density states and least squares estimation. Our experiments show that the separating boundary in our approach is invariant to varying trajectory samples within the same spatio-temporal region, providing further evidence that the separating boundary is indeed a locus of stationary traffic states. © 2023, CC BY.

关键词： Entropy

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Influence of Rotation on Pedestrian Flow Considering Bipedal Features: Modeling Using a Fine Discrete Floor Field Cellular Automaton

SSRN

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SSRN 2022年

作者： Fu, Zhijian Xiong, Xingwen Luo, Lin Yang, Yunjia Feng, Yujing Chen, Hua School of Transportation and Logistics Southwest Jiaotong University Chengdu China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest Jiaotong University Chengdu China National United Engineering Laboratory of Integrated and Intelligent Transportation Southwest Jiaotong University Chengdu China Sichuan FAST Fire Safety Assessment Co. Ltd. Chengdu China

Previous studies assume pedestrians rotate with a single axis (often the geometric center of agents in simulation) for simple implementation, which ignores the asymmetry and bipedal features of pedestrian behavior. Therefore, for a higher level of simulation realism, we propose a floor field cellular automaton simulating the rotation with a dual-axis considering bipedal features. Then, we investigated the influence of rotation on the pedestrian flow in three typical scenarios where one could frequently observe the rotation behavior. The findings reveal that the rotation behaviors significantly influence the crowd phenomena of pedestrians, including the travel and flow efficiency, the shape of arching and trajectories of the crowd, and the lane formation. The pedestrians with the dual-axis rotation flow fluently and efficiently when passing through a bottleneck or a crowd: 1) in the case of single-exit room evacuation, the dual-axis rotation improves the efficiency by 5%-150%;2) in the case of unidirectional flow in the L-shaped passage, the improved efficiency by the dual-axis rotation is about 30%;3) in the counterflow, the dual-axis rotation greatly relieves the unrealistic congestion. © 2022, The Authors. All rights reserved.

关键词： Rotation

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