Article
Green & Sustainable Science & Technology
Huo Chai, Ruichun He, Ronggui Kang, Xiaoyan Jia, Cunjie Dai
Summary: In this study, a transport risk evaluation method considering driving risk was proposed. A model of vehicle routing problems considering a soft time window for the transportation of hazardous materials was established, and a non-dominated genetic algorithm was designed to solve the bi-objective optimization model. Using a network example of 23 nodes and 38 road segments, 59 pareto-optimal solutions were obtained for six drivers on nine different paths. Comparing different solutions, it was found that driving risk, road population density, and transportation distance have different impacts on transport cost and risk. Choosing drivers and routes can adjust the propensity of cost and risk, allowing decision-makers to select a solution for allocating drivers and routing vehicles according to their risk preference.
Article
Engineering, Multidisciplinary
Asli Calis Boyaci, Cevriye Gencer
Summary: This study focuses on fuel transportation and proposes a multi-objective multi-modal multi-commodity model aiming to minimize total transportation cost and total transportation risk. By using GAMS/CPLEX optimization software, the cost and risk values of the unimodal and multimodal transportation models are obtained, and preemptive goal programming models for cost priority and risk priority are applied. Additionally, Turkey's fuel distribution networks are mapped using ArcGIS software.
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
(2021)
Article
Economics
Behzad Zahiri, Nallan C. Suresh
Summary: This paper explores a hazardous materials transportation network design problem based on hub location topology under uncertainty. It aims to minimize total risk in the network by controlling decisions on hub locations, hazmat response teams, and routing schemes. Two heuristic algorithms using mean-absolute deviation and possibilistic programming are developed to tackle uncertainty and solve large scale instances, demonstrating advantages through numerical experiments on transportation networks.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Mathematics, Applied
T. K. Buvaneshwari, D. Anuradha
Summary: In today's competitive world, entrepreneurs cannot rely on transporting a single product as it does not provide sufficient profit. This study focuses on a novel integrated model for a bi-objective bi-item solid transportation problem with fuzzy stochastic inequality constraints. The objectives of the entrepreneur are minimizing transportation cost and duration while maximizing profit, and the method applied is the chance-constrained technique.
Article
Engineering, Industrial
Jian Guo, Cheng Luo, Kaijiang Ma
Summary: This paper studies the risk coupling problems in hazardous material transportation safety in coastal areas by analyzing 362 accidents. The results show that the risk of hazardous materials transportation has a gradually increasing trend with the increase of risk coupling factors. The risk coupling of driver factors and road environmental factors leads to a high probability of accidents.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Environmental
Jinkun Men, Guohua Chen, Lixing Zhou, Peizhu Chen
Summary: This study addresses the issue of considering multiple simultaneous HazMat shipments and proposes a multi-objective transportation network design model. The proposed algorithm is competitive in solving large-scale instances and effectively coordinates multiple HazMat transportation processes.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Green & Sustainable Science & Technology
Zhongxin Zhou, Minghu Ha, Hao Hu, Hongguang Ma
Summary: The study presents a hazardous materials transportation solution for the half open multi-depot heterogeneous vehicle routing problem, aiming to reduce risk and cost through a novel risk model and a bi-objective mixed integer programming model, achieving significantly optimized results.
Article
Chemistry, Multidisciplinary
Mustapha Oudani
Summary: Efficient and eco-friendly transportation network design requires strategic location of intermodal terminals for sustainability. This study addresses the Intermodal Terminal Location Problem on incomplete networks, utilizing a simulated annealing algorithm for medium and large instances, showing competitive solutions compared to CPLEX solver for smaller instances and outperforming existing heuristic solutions for larger instances.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Civil
Lukai Zhang, Naifu Deng, Yingping Wang, Xiaoyan Ma, Maosen Lin, Peng Zhang
Summary: The goal of this study is to mitigate sustainability risks associated with hazmat transport processes by combining route planning of hazmat shipments with location for emergency response centers in a road hazmat transport network and proposing a new subsidy policy. A bi-level programming model is established and a genetic algorithm is developed to solve the problem. Computational experiments validate the effectiveness of the proposed method.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Operations Research & Management Science
Ginger Y. Ke
Summary: This study develops a scenario-based robust optimization model for rail-truck intermodal transportation network in the presence of disruptions. By proposing recovery mechanisms and additional constraints, considering different disruption scenarios, the study minimizes expected risk and variability to ensure network reliability. Numerical experiments and sensitivity analyses reveal the relationship between system robustness, reliability, and provide managerial insights for disruption management.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Engineering, Chemical
Jinhua Cheng, Bing Wang, Chenxi Cao, Ziqiang Lang
Summary: In recent years, there has been increased attention on transportation accidents involving hazardous materials. Previous studies mainly focused on single-vehicle accidents. However, when vehicles carrying hazardous materials gather on a road, potential domino accidents can occur and lead to severe incidents. This paper proposes a quantitative risk assessment (QRA) model that uses a dynamic Bayesian network (DBN) to calculate the probability of leakage and explosion of hazardous chemicals. The model also uses event trees to analyze different scenarios and the probability of domino accidents caused by each scenario. The FN-curve and potential loss of life (PLL) are utilized as metrics to evaluate social risk. A case study in the JinShan District, Shanghai, involving multiple vehicles is analyzed, and the results show that the driver's state, road type, weather factors, and vehicle distance have significant impacts on the societal risk associated with hazardous materials transportation accidents.
Article
Computer Science, Artificial Intelligence
Mohamed Salama, Sharan Srinivas
Summary: This research focuses on sustainable machining operations by considering the impact of cutting tool deterioration in job scheduling and tool replacement activities. A single-machine scheduling approach is studied to determine job processing time based on tool age and operating duration, aiming to minimize weighted costs. A new variant of simulated annealing algorithm is proposed to solve large instances efficiently and consistently outperforms traditional methods.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Interdisciplinary Applications
S. Davod Hosseini, Manish Verma
Summary: The study proposes an analytical framework that uses the conditional value-at-risk (CVaR) measure to generate minimum risk shipment routes and promote risk-equity in a railroad network. It shows that risk-equity can be achieved through rerouting, with the design of train services and the trade-off between yard risk and arc risk determining the number of rerouting instances and the optimal value of CVaR.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Computer Science, Information Systems
Zhanzhong Wang, Yan Wang, Yuling Jiao
Summary: In this study, a multi-objective hazardous materials transport route planning model considering road traffic resilience and low carbon is proposed. This model fills the research gap in the field of low carbon hazardous material transportation and is the first to consider road traffic resilience as a weight factor for risk calculation. An improved ant colony optimization algorithm (ACO) is designed to obtain the pareto optimal solution set, which shows better solution quality and space compared to genetic algorithm and simulated annealing algorithm.
Article
Engineering, Multidisciplinary
Lukai Zhang, Xuesong Feng
Summary: This study proposes an integrated approach to plan tank-truck shipments of hazardous materials in intercity road networks, defining risk indicators and studying a network consisting of local distribution and long-distance transportation sub-networks. The study presents advantages in method innovation and engineering operation through the development of algorithms and a case study in East China.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Physics, Multidisciplinary
Xiaoyu Shi, Jian Zhang, Xia Jiang, Juan Chen, Wei Hao, Bo Wang
Summary: This study presents a novel framework using offline reinforcement learning to improve energy consumption in road transportation. By leveraging real-world human driving trajectories, the proposed method achieves significant improvements in energy consumption. The offline learning approach demonstrates generalizability across different scenarios.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Junhyuk Woo, Soon Ho Kim, Hyeongmo Kim, Kyungreem Han
Summary: Reservoir computing (RC) is a new machine-learning framework that uses an abstract neural network model to process information from complex dynamical systems. This study investigates the neuronal and network dynamics of liquid state machines (LSMs) using numerical simulations and classification tasks. The findings suggest that the computational performance of LSMs is closely related to the dynamic range, with a larger dynamic range resulting in higher performance.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Yuwei Yang, Zhuoxuan Li, Jun Chen, Zhiyuan Liu, Jinde Cao
Summary: This paper proposes an extreme learning machine (ELM) algorithm based on residual correction and Tent chaos sequence (TRELM-DROP) for accurate prediction of traffic flow. The algorithm reduces the impact of randomness in traffic flow through the Tent chaos strategy and residual correction method, and avoids weight optimization using the iterative method. A DROP strategy is introduced to improve the algorithm's ability to predict traffic flow under varying conditions.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Chengwei Dong, Min Yang, Lian Jia, Zirun Li
Summary: This work presents a novel three-dimensional system with multiple types of coexisting attractors, and investigates its dynamics using various methods. The mechanism of chaos emergence is explored, and the periodic orbits in the system are studied using the variational method. A symbolic coding method is successfully established to classify the short cycles. The flexibility and validity of the system are demonstrated through analogous circuit implementation. Various chaos-based applications are also presented to show the system's feasibility.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Viorel Badescu
Summary: This article discusses the maximum work extraction from confined particles energy, considering both reversible and irreversible processes. The results vary for different types of particles and conditions. The concept of exergy cannot be defined for particles that undergo spontaneous creation and annihilation. It is also noted that the Carnot efficiency is not applicable to the conversion of confined thermal radiation into work.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
P. M. Centres, D. J. Perez-Morelo, R. Guzman, L. Reinaudi, M. C. Gimenez
Summary: In this study, a phenomenological investigation of epidemic spread was conducted using a model of agent diffusion over a square region based on the SIR model. Two possible contagion mechanisms were considered, and it was observed that the number of secondary infections produced by an individual during its infectious period depended on various factors.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Zuan Jin, Minghui Ma, Shidong Liang, Hongguang Yao
Summary: This study proposes a differential variable speed limit (DVSL) control strategy considering lane assignment, which sets dynamic speed limits for each lane to attract vehicle lane-changing behaviors before the bottleneck and reduce the impact of traffic capacity drop. Experimental results show that the proposed DVSL control strategy can alleviate traffic congestion and improve efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Matthew Dicks, Andrew Paskaramoorthy, Tim Gebbie
Summary: In this study, we investigate the learning dynamics of a single reinforcement learning optimal execution trading agent when it interacts with an event-driven agent-based financial market model. The results show that the agents with smaller state spaces converge faster and are able to intuitively learn to trade using spread and volume states. The introduction of the learning agent has a robust impact on the moments of the model, except for the Hurst exponent, which decreases, and it can increase the micro-price volatility as trading volumes increase.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Zhouzhou Yao, Xianyu Wu, Yang Yang, Ning Li
Summary: This paper developed a cooperative lane-changing decision system based on digital technology and indirect reciprocity. By introducing image scoring and a Q-learning based reinforcement learning algorithm, drivers can continuously evaluate gains and adjust their strategies. The study shows that this decision system can improve driver cooperation and traffic efficiency, achieving over 50% cooperation probability under any connected vehicles penetration and traffic density, and reaching 100% cooperation probability under high penetration and medium to high traffic density.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Josephine Nanyondo, Henry Kasumba
Summary: This paper presents a multi-class Aw-Rascle (AR) model with area occupancy expressed in terms of vehicle class proportions. The qualitative properties of the proposed equilibrium velocity and the stability conditions of the model are established. The numerical results show the effect of proportional densities on the flow of vehicle classes, indicating the realism of the proposed model.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Oliver Smirnov
Summary: This study proposes a new method for simultaneously estimating the parameters of the 2D Ising model. The method solves a constrained optimization problem, where the objective function is a pseudo-log-likelihood and the constraint is the Hamiltonian of the external field. Monte Carlo simulations were conducted using models of different shapes and sizes to evaluate the performance of the method with and without the Hamiltonian constraint. The results demonstrate that the proposed estimation method yields lower variance across all model shapes and sizes compared to a simple pseudo-maximum likelihood.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Przemyslaw Chelminiak
Summary: The study investigates the first-passage properties of a non-linear diffusion equation with diffusivity dependent on the concentration/probability density through a power-law relationship. The survival probability and first-passage time distribution are determined based on the power-law exponent, and both exact and approximate expressions are derived, along with their asymptotic representations. The results pertain to diffusing particles that are either freely or harmonically trapped. The mean first-passage time is finite for the harmonically trapped particle, while it is divergent for the freely diffusing particle.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Hidemaro Suwa
Summary: The choice of transition kernel is crucial for the performance of the Markov chain Monte Carlo method. A one-parameter rejection control transition kernel is proposed, and it is shown that the rejection process plays a significant role in determining the sampling efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Xudong Wang, Yao Chen
Summary: This article investigates the joint influence of expanding medium and constant force on particle diffusion. By starting from the Langevin picture and introducing the effect of external force in two different ways, two models with different force terms are obtained. Detailed analysis and derivation yield the Fokker-Planck equations and moments for the two models. The sustained force behaves as a decoupled force, while the intermittent force changes the diffusion behavior with specific effects depending on the expanding rate of the medium.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)