Traditional Transportation Research Articles

PROVISION OF FOOD IN EMERGENCY SITUATIONS

The article discusses measures to provide the population with food and the principles of their distribution during an emergency, in order to meet the needs of the population. Two types of food aid are characterized – short-term and long-term, lasting from several days or weeks (shortterm) to several months or years (long-term).The basic requirements for food products are described, the main of which are: the speed of preparation, the absence of complex preparation, compliance with calorie requirements and traditional consumption, transportation and storage conditions, as well as price-quality ratio.Special attention is paid to the balance of the food basket for the affected population, the need for compliance in macro- and microelement composition. Special attention is paid to water quality control, which is of paramount importance for the life support of the population during emergencies. The safety requirements for the process of transportation, storage, distribution and distribution organization are described. Possible methods of water treatment and purification, such as boiling, filtration, chemical disinfection, as well as methods of its reservoir storage, are presented.The requirements of the norms for the use of water during normal life and in an emergency situation are given.

Ultrafast 3D Hybrid‐Ion Transport in Porous V2O5 Cathodes for Superior‐Rate Rechargeable Aqueous Zinc Batteries

AbstractLayered V2O5 is a star cathode material of rechargeable aqueous zinc‐based batteries (RAZBs) owing to the rich redox chemistry of vanadium, which commonly exhibits the 2D ion‐diffusion mechanism through Zn2+ (de)intercalation at edge sites but is plagued by the inert basal planes. Here, hierarchically porous V2O5 nanosheets vertically grown on carbon cloth (V2O5/C) are innovatively prepared, where the porous structure with lattice defects successfully unlocks the V2O5 basal plane to provide additional ion‐diffusion channels and abundant active sites. Thus, highly efficient and ultrafast 3D Li+/Zn2+ co‐insertion/extraction behaviors along both the c‐axis and ab plane of V2O5 are realized for the first time in the formulated 15 m LiTFSI + 1 m Zn(CF3SO3)2 aqueous electrolyte, as elucidated by systematic ex situ analyses, multiple electrochemical measurements, and theoretical computations. As a result, the porous V2O5/C electrode delivers an exceptional high‐rate capability (up to 100 A g−1) and an ultralong cycling durability (15 000 cycles) in RAZBs. Finally, quasi‐solid‐state wearable rechargeable zinc batteries employing the porous V2O5/C cathode demonstrate respectable performance even under severe deformations and low temperatures. This work achieves a conceptual breakthrough represented by an upgrading of the traditional 2D ion transportation in layered cathodes to the more facile 3D diffusion for designing high‐performance battery electrochemistry.

Goal-oriented Urban Integrated Transportation Planning under the Concept of Green Mobility

With the development of urban motorization, urban traffic congestion and traffic pollution problems are becoming more and more serious, and the new era of "double carbon" strategic goals have also made important requirements for the transportation sector. The traditional integrated transportation planning has the limitation of being established only to meet the transportation demand, and it also takes less account of the importance of sustainable development. Therefore, this paper reflects on the traditional comprehensive transportation planning from the perspective of the "double carbon" strategic goal, and identifies the problems, combines the current characteristics that there are many green travel modes in the city but not in an orderly way, builds a green travel system in the comprehensive urban transportation planning, integrates the green travel concept into the urban development, and creates a green travel transportation planning system in the urban area. The research results are in line with the requirements of the "double carbon" strategy and the sustainable development of resources, environment and transportation. The research results of this study are in line with the realistic needs and have certain theoretical reference value and practical guidance for urban transportation managers in terms of theory, methodology and practical application.

A stabilized branch-and-price-and-cut algorithm for the waste transportation problem with split transportation

In the context of waste classification, different categories of waste are collected and stored separately in each collection location, which makes the split transportation implement readily in the waste transportation problem. The split transportation refers to that trailers are allowed to visit each location several times to transport different categories of waste from collection locations to transfer stations. Since split transportation relaxes the basic assumption that each collection locationshould be visited exactly once, it would lead to flexible combinations of routes and help waste transportation departments or companies save on operational costs. In this paper, we present a novel waste transportation problem that extends the traditional waste transportation problem by introducing the concept of split transportation. We develop a mixed integer programming formulation and a branch-and-price-and-cut algorithm on an extended network to solve the investigated problem. The extended network simplifies the pricing subproblem, but renders high degeneration in column generation. Then, the stabilized technique is devised to speed up the convergence speed of the proposed algorithm. The efficiency of the proposed algorithm is tested on a real-world instance and a set of benchmark instances. Then, we discuss the impact of split transporation, demand intervals, and trailer capacity to give managerial insights for waste transportation departments or companies.

The Multi-Objective Transportation Problem Solve with Geometric Mean and Penalty Methods

The traditional (classical) Transportation Problem (TP) can be viewed as a specific case of the Linear Programming (LP) problem, as well as its models are used to find the best solution for the problem of predetermined how many units of a good or service need to be shipped from one source to multiple locations, with the goals being to reduce time or expense. Classical TP has one objective but when there are two or more objectives to be optimized for in a TP, the strategies used to optimize a single objective are inapplicable. The term “Multi-Objective Transportation Problem (MOTP)” refers to situations in which there are two or more objectives in a TP. The specific extension of the transportation problem is the MOTP. This work provided a novel alternative algorithm that uses geometric means along with the penalty technique to address MOTP. Specifically, analyzed data by comparing our method with numerical examples and presenting the results in a line graph. Our analysis shows that our approach yields better solutions than existing methods, demonstrating the novelty and effectiveness of our approach. The comparison with numerical examples provides a clear and intuitive way of presenting the superiority of our method, making it accessible to practitioners and researchers in the field. These findings have important implications for improving the accuracy and reliability of solutions to the problem at hand. Overall, our study contributes to the advancement of the field by providing a novel and effective method for solving the problem.

The perfect match? Assessment of excess commute and transport externalities using an agent-based transport model

Excess commute (EC) refers to the sub-optimal allocation of workers to jobs in an urban region in terms of minimal commute distances. This article investigated EC for the Munich metropolitan area using a microscopic agent-based modeling suite. We first considered the optimization strategy, comparing the traditional zone-based transportation problem to a microscopic routine. Zone-based optimization is computationally efficient, but it underestimates EC due to spatial biases, even when the zone system is highly disaggregate. We then applied the optimized job-worker assignment to a microscopic travel demand model, assigning workers to jobs of the same job sector at a shorter distance from their home, accounting for multi-worker households. With shorter commutes, there was a substantial shift toward active modes. However, we only observed moderate impacts on total travel demand, with the overall effect dampened due to compensatory behavior between mandatory and discretionary travel. Finally, the outputs from the demand model were used by a microscopic assignment model to calculate externalities attributable to EC. Because of the complexity of travel demand, we conclude that the EC indicator alone would overestimate the benefits of policies targeting jobs-housing balance.

Optimization Path and Design of Intelligent Logistics Management System Based on ROS Robot

With the rapid development of the Internet of Things (IoT), the logistics and transportation industry is booming. At the same time, with the advancement of AI technology, intelligent logistics is also gradually emerging, and the purpose of intelligent logistics is to use different types of automatic guided transport machines to replace people to handle and move products. At the same time, with the help of big data, cloud computing, artificial intelligence, sensor technology, and other technologies, we can achieve logistics automation. However, the current logistics robot creation platforms are diverse, which makes intelligent logistics robots diverse in variety and wide in application and also makes the creation and use of robots more challenging. Robot Operating System (ROS) is an open-source software platform that supports programming in multiple languages and has excellent adaptability. In addition, most of the currently used path planning focuses on a single target point, which is insufficient to support the current needs of multitasking in intelligent logistics. Therefore, this paper aimed to design an intelligent logistics management system based on ROS robot and proposed to use the A-star algorithm to calculate the shortest path of the robot so as to achieve the optimal path. In the simulation experiment, 20 ROS robots were selected and divided into two groups. In the logistics warehouse of different transportation nodes, 20 ROS robots were set up to transport goods of different weights in the experiment, and the transportation data were collected at last. The final simulation results have shown that the power consumption and response delay performance of the ROS robot are good, and the logistics transportation speed is significantly improved. In addition, compared with the traditional transportation method, the daily transportation weight of each robot is up to 310.1% and the monthly profit is up to 171%, which shows that the intelligent logistics management system designed in this paper is more efficient in logistics and transportation and can bring more profits.

Rock Mechanics for GeoEnergy Applications

The discipline of rock mechanics, which emerged in the 1960s and 1970s as a distinct scientific subject, is undergoing rapid development, including a significant shift within the traditional civil, transportation, and petroleum fields. This shift leans toward using Earth resources to mitigate adverse climate change and to boost sustainable and renewable energy production. Energy geotechnics, or “GeoEnergy,” focuses on novel geomechanics and geotechnical engineering strategies to meet emerging sustainability market demands. GeoEnergy applications that employ rock mechanics and engineering include geothermal systems, geologic carbon sequestration, underground hydrogen storage, compressed air energy storage, and nuclear waste repositories.

A study on uncertain fixed charge bi-objective 4-dimensional transportation problems under budget constraints

<span lang="EN-US">Generally, in traditional transportation problems, single items are transported from a set of origins to a set of destinations in such a way that the transportation cost is minimized. To face the challenges that arise in modelling transportation problem various parameters are to be considered. In this work to provide an optimal transportation policy to the decision maker, we have studied a fixed-charge bi-objective multi-product <br /> 4-dimensional transportation problem with vehicle speed under budget constraints under uncertain environment. The objective of the proposed model is to have the maximum profit with the minimum time taken of transporting the goods. An equivalent deterministic model of the proposed model is obtained to deal the uncertain variable using expected value-chance constraint properties on uncertainty theory and its compromise solution is obtained by using the goal programming technique. A numerical example is discussed to provide more clarity on the proposed model.</span>

From accessibility of traffic to accessibility of service: the spatial analysis of N-minute service circle of urban park system

ABSTRACT As an important strategy of basic public services in China, service “accessibility” follows the concept of fair and equal public services. Compared with the traditional transportation accessibility, it is also a comprehensive consideration from the dimension of residents’ demand and service supply to promote the balance of urban park space layout and service coverage. Based on the N-minute service circle, this study establishes a comprehensive evaluation index system to quantitatively assess the service balance of urban parks based on three dimensions of service availability, spatial balance and social equity, taking the Shangcheng District of Hangzhou as an example. And further, an optimization model of urban park system is constructed to carry out spatial analysis and optimal adaptation of urban park system by combining residents’ demand and evaluation. The results show that the overall accessibility of urban park services shows a spatial pattern of “high in the north and low in the middle”, with obvious spatial differentiation along the river area. The urban park system optimized by the model based on the assessment results achieves the “accessibility” and “refined” quality of urban park services. Meanwhile, this study provides a reference for building a more all-age and quality urban park system.

5G-Enabled Cyber-Physical Systems for Smart Transportation Using Blockchain Technology

The physical world can be controlled directly over the Internet once a Cyber-Physical 1 System (CPS) infrastructure is established. The Intelligent Transportation System (ITS) encompasses Wireless Sensor Network (WSN), Vehicular ad hoc network (VANET), and 5G-enabled Internet of Things (IoT) solutions to transform traditional transportation into an ITS. This research investigates the option of running a blockchain-driven security assurance model to safeguard intelligent roads and smart vehicles as part of ITS. The proposed model considers a semi-distributed model in blockchain deployment to ensure satisfactory Internet of Vehicles (IoV) service while mining acceptable security assurance. The experimental outcomes on intelligent roads and smart parking management indicate that the proposed model achieves comparably good data delivery and reduced latency, paving the way to an innovative deployment of blockchain technologies in IoV for a dependable and trustworthy ITS.

Research on Partner Selection of High-Speed Railway Dynamic Logistics Alliance Based on the Dynamic Programming Model

Traditional railway transportation can no longer meet people’s demand for logistics services. This paper takes advantage of high speed to propose a high-speed railway dynamic logistics alliance based on a cloud platform to make up for the lack of transport capacity at both ends of the high-speed railway logistics trunk line. Selecting partners is crucial to the high-speed rail logistics alliance. This paper uses the methods of multiobjective fuzzy optimization and dynamic programming to conduct multistage optimization of high-speed railway dynamic logistics alliance partners. When the market demand changes, in order to optimize the overall interests of the alliance, this paper uses the efficiency profit field method to achieve the dynamic selection of alliance partners or potential partners. The case study shows that the establishment of the high-speed railway dynamic logistics alliance can optimize the interests of the members of the alliance, verify the effectiveness of the method, and provide a reference for the better development of high-speed railway logistics.

Freight Flow Assignment in the Intermodal Logistics Network

Intermodal logistics networks have received increased attention from researchers in recent decades. The growing importance of strategic supply chain management in light of issues such as road congestion, environmental concerns, and traffic safety is forcing firms to revise traditional freight transportation. As a result, the study of intermodal logistic service development has become urgent for multiple branches of science. This work is focused on the mathematical model of the freight flow assignment problem under auction equilibrium. We formulate this model as a non-linear optimization problem and show that its solution corresponds to the equilibrium assignment pattern in an intermodal logistics network. The developed model can be applied for long-term planning and management since its basic assumption is that in the long run, the activities carried out by shippers are in equilibrium. The findings of the paper contribute to the theory of transportation and can give fresh managerial insights for engineers.

Exploring the Multi-Layer Structural Properties of the Bus-Subway Transportation Network of Shanghai

Buses and subways are essential to urban public transportation systems and an important engine for activating high-quality urban development. Traditional multi-modal transportation networks focus on the structural feature mining of single-layer networks or each layer, ignoring the structural association of multi-layer networks. In this paper, we examined the multi-layer structural property of the bus-subway network of Shanghai at both global and nodal scales. A dual-layer model of the city’s bus and subway system was built. Single-layer complex network indicators were also extended. The paper also explored the spatial coupling properties of the city’s bus and subway system and identified its primary traffic nodes. It was found that 1) the dual-layer network increased the network’s connectivity to a certain extent and broke through the spatial limitation in terms of physical structure, making the connection between any two locations more direct. 2) The dual-layer network changed the topological characteristics of the transit network, increasing the centrality value and bit order in degree centrality, betweenness centrality, and closeness centrality to different degrees, and making each centrality tend to converge to the city center in spatial distribution. Enhancing the management of critical network nodes would help the integrated public transportation system operate more effectively and provide higher-quality services.

Multimodal transportation network with cargo containerization technology: Advantages and challenges

Traditional multimodal transportation dispatching of roads, railways, and maritime has been studied for years. This study investigates a bulk cargo distribution problem in a multimodal transportation network considering both the transportation modes of inland waterways and containerization technology. First, we qualitatively discuss the advantages and challenges of transportation using cargo containerization technology from the aspects of transportation cost, time-saving, pollutant emission reduction, and customer preference. Second, a mixed-integer linear programming model is developed, wherein the influence of bridge heights on transportation is considered. The model is validated based on near-practice numerical experiments, and we can obtain the optimal transportation scenario by solving the model, including transportation mode selection, vehicle routing, depot selection, and cargo quantity for containerization. Third, we conduct numerical experiments based on the multimodal transportation network of the Yangtze River in China to discuss the performance of multimodal transportation with containerization technology considerations. The results show that containerization transportation can decrease the total transportation costs for logistics companies under certain parameter configurations. The model and experiments are then extended by considering pollutant emission reductions and time savings, respectively. We uncover the performance of containerization technology by analyzing the Pareto fronts of this technology and traditional bulk cargo transportation. This study elucidates the decision making of logistics companies and government policymaking.

Research Progress in the Treatment of Motion Sickness

Motion sickness is a disease characterized by vertigo, nausea, vomiting and other symptoms in traditional transportation and visual information technology. Signs of motion sickness occur in humans and animals when they are at sea, traveling by car or plane, and in space. In addition, some other special conditions, such as simulators, movie theaters, and video games, have also been described as causing pseudo disease. Treatment is directed towards reducing conflicting sensory inputs, speeding up the acclimation process, and controlling nausea and vomiting. At present, there are various clinical treatment methods, taking drugs to relieve vomiting is the main treatment method, but the effect varies from person to person. Therefore, this paper reviews the relevant data published in recent years, aiming to summarize the treatment methods of motion sickness, and provide a reference for the development of new treatment methods with small side effects and good efficacy to reduce the proportion of patients with motion sickness.

Development of a Neighborhood Mobility Index for Assessing Mobility Disparities in Developing Countries with Application to the Greater Cairo Area, Egypt

Most urban planners emphasize sustainability’s environmental and economic aspects and overlook the social equity dimension. Assessment of the current mobility situation is a prerequisite for developing socially sustainable urban mobility plans. However, current metrics for mobility assessment are data intensive and sometimes require the development of a detailed transportation model for the urban area, which is difficult to achieve in developing nations. In this study, we have created an index for assessing mobility for neighborhoods in a metropolitan area that requires minimal land-use information and utilizes online third-party travel-time data. The proposed index merges the fundamental principles of the traditional transportation planning process and congestion metrics to assess the mobility status of different neighborhoods in an urban area for a single mode of transportation. The developed neighborhood mobility index (NMI) was evaluated in the Greater Cairo Area (GCA), and the results were validated by conducting a one-dimensional ANOVA. The validation results showed that the results obtained using the developed NMI were reliable with a good degree of confidence. The case study demonstrated the capabilities of the NMI in detecting disparities between neighborhoods in a city and showed how planners and decision-makers could use it in preparing sustainable mobility plans.

Study on the stability of oil-water annular flow under different amplitude

Compared with the traditional transportation of high-viscosity crude oil, water annular transportation has the advantages of low energy consumption and no change in crude oil composition. With the continuous development of marine heavy oil transportation, submarine oil pipelines are inevitably subjected to vibration and impact, affecting the annular flow in the pipeline. In this paper, the VOF model in Fluent software is used to simulate the stability of oil-water annular flow in a horizontal pipeline under different amplitudes and the interface characteristic parameters of annular flow. In addition, the influence of vibration on oil-water annular flow in the horizontal pipeline under different marine environments is studied. The results showed that the vibration parameters have an influence on the flow of oil-water annular flow in the horizontal pipeline. Under the condition of constant inlet velocity, the eccentricity degree of oil core is analyzed to reveal the law that the stability of annular flow decreases with the increase of amplitude. The relationship between the eccentricity of oil core and the vibrational parameters of pipes are explored in this paper. At the same time, the unit pressure drop under the condition of pipe vibration and its mechanism are studied. These results could provide references for parameters optimization of heavy oil-water annular flow transportation under vibration conditions.

해상운송의 투명성 향상을 위한 블록체인 기술 활용과제

Traditional maritime transportation has several problems, such as complicated transaction processes, high dependence on paper documents, difficulty in obtaining timely information, and difficulty in tracking cargo. Due to these problems, it is difficult to secure the visibility and transparency for transporting cargo. Therefore, we considered a plan to improve the visibility and transparency of maritime transportation through real-time tracking of the movement route and status of transporting cargo in the maritime transportation process through the application of blockchain technology in maritime transportation. For these purposes, we analyzed the problems faced by traditional maritime transportation, and examined the necessity and expected effects of blockchain technology in maritime transportation. And we reviewed the challenges to the widespread adoption of blockchain technology in maritime transport from the technical, legal, transactional, and environmental perspectives.

Prototyping PISA-like Mathematics Problems for 8th-grade Students Using Javanese Context

Javanese context is rich of phenomena potentially used as a starting point to learn mathematics. On the other hand, the Indonesian students’ performance in PISA is consistently low due to the small number of PISA-like problems which can be used to foster the students’ mathematical literacy measured in PISA. Therefore, this research aims to develop a set of PISA-like problems using the Javanese context targeted for 8 th -grade students of Junior High School. It is a development study using Plomp’s framework in the stage of need analysis and prototyping. We have successfully developed a prototype of PISA-like mathematics problems using Javanese context. There are six items covering seven basic competences in the 8 th -grade of junior high school. The items used various mathematics skills such as communication, representation, mathematization, devising strategies, and reasoning. We could explore some Javanese contexts such as traditional building, transportation, calendar system, community meeting, and historical place. Meanwhile the school mathematics materials include number sequence, Cartesian coordinate, relation, linear function, linear equation system in two variables, and Pythagorean theorem.