Transportation Security Research Articles

Contraband classification method for X-ray security images considering sample imbalance

X-ray security image contraband classification is widely used to assist in maintaining aviation and transportation security. This paper suggests an end-to-end X-ray security inspection image classification method that takes sample imbalance into account in order to address the issues of different scales of contraband in X-ray images, challenging samples, and unbalanced positive and negative samples inherent in passenger baggage security inspection. The feature fusion module is used to enhance the model's ability to express picture edge and texture features while the multi-scale feature extraction network is used to capture the features of numerous sorts of illegal goods with various scales. Based on the cost-sensitive idea, the loss function is designed to solve the problem of dataset imbalance, and improve the classification accuracy of difficult samples. experimental results of the subset constructed on the public dataset SIXray show that the proposed method improves the mean AP index by compared with the current optimal end-to-end classification model, especially for hard-to-classify samples such as scissors, the AP index has a significant improvement effect.

Enhancing Functionality and Minimizing Damage of Air Valves in Pipelines Using FRP Sheets

Pipelines play a vital role in ensuring the efficient and secure transportation of water, making their performance to keep the water continuously going vital. This research explores the influence of air valves on the localized damage and overall functionality of the pipelines. Air valves are critical components that help stabilize pressure and prevent vacuum formation. However, their installation can introduce structural weaknesses in localized areas. The study employs FEM modeling alongside field data from a collapsed bridge to assess the performance and damage in the vicinity of air valves. The findings reveal that strategic redesigns, such as optimizing air valve placement and reinforcing surrounding areas, can significantly enhance performance while mitigating local damage. Additionally, the research highlights the effectiveness of repair methods in increasing pipeline resistance to bending stresses and compares various repair and design approaches, providing new insights into mitigating structural damage in aqueduct bridges. This study addresses a critical gap in the literature, offering a thorough approach to understanding and addressing air valve-related damage in engineering.

O PAPEL DA ORGANIZAÇÃO MARÍTIMA INTERNACIONAL NA PROTEÇÃO DO MEIO AMBIENTE MARINHO

Tankers transport liquid cargoes in bulk across the globe, representing a crucial and highly lucrative mode of maritime transport. Given this context, the secure transport of crude oil, derivatives, petrochemicals, and liquefied gases, as well as cargo transfers between inshore, onshore, and offshore terminals, necessitates standardization and effective regulations. In response to a series of oil tanker accidents in 1976-1977, the International Convention for the Prevention of Pollution from Ships (MARPOL) was established, which is the primary international framework for preventing marine pollution. This convention includes regulations aimed at preventing and mitigating pollution from ships, addressing both accidental discharges and routine operational emissions, and is currently supported by six technical annexes. Consequently, ensuring safe operations and environmental protection is a global priority for shipping companies. Researching and promoting this topic serves as a means of disseminating information to users.

A Survey of the Routing Problem for Cooperated Trucks and Drones

The emerging working mode of coordinated trucks and drones has demonstrated significant practical potential in various fields, including logistics and delivery, intelligence surveillance reconnaissance, area monitoring, and patrol. The seamless collaboration between trucks and drones is garnering widespread attention in academia and has emerged as a key technology for achieving efficient and secure transportation. This paper provides a comprehensive and in-depth review of the research status on the routing problem for coordinated trucks and drones, covering aspects such as application background, cooperative modes, configurations, issues that have been taken into consideration, and solution methodologies.

POLICY ON THE IMPLEMENTATION OF SMART MOBILITY IN THE SOUTH TANGERANG CITY, INDONESIA BASED ON PUBLIC TRANSPORTATION USING THE PROMETHEE METHOD

The increase in population density and mobility in certain urban areas has underscored the need for a smart mobility concept. As a component of the broader smart city framework, smart mobility aims to enhance transportation services, making them more accessible, safe, comfortable, efficient, and affordable for the public. This research assesses the readiness for implementing public transportation-based smart mobility in South Tangerang and develops a policy strategy model for its transportation planning and development. The study employed a mixed-method approach, incorporating multivariate analysis and Multi-Criteria Decision Analysis. The findings reveal that South Tangerang is currently unprepared to implement smart mobility, as indicated by low scores on its assessment indicators. Recommended policies include improving the availability, security, and comfort of public transportation, reorganizing transit routes, providing real-time information access, adjusting schedules, and promoting bicycle use by adding bicycle lanes. This research highlights the current state of transportation systems in developing countries and emphasizes the importance of implementing policies that benefit a wide segment of the population.

Data-driven system identification and model predictive control of pneumatic conveying using nonlinear dynamics analysis for optimised energy consumption

Pneumatic conveying systems provide secure transportation of particulate material and a dust-free environment. These systems face high energy consumption, material degradation, and pipeline blockages. This research presents an innovative solution by integrating nonlinear dynamics analysis of electrostatic sensor data, including chaos and recurrence quantification analysis, sparse identification of nonlinear dynamics with control (SINDYc) and model predictive control (MPC). The Lyapunov exponent, approximate entropy and recurrence rate of electrostatic sensor data reveal the chaotic nature of gas-solid flows. MPC framework was tailored for real-time optimisation of a pneumatic conveying system. SINDYc system models were developed using data collected from an open-loop control pneumatic conveying process to conduct MPC simulations and select an appropriate model for real-time control. This research illustrates the potential of integrating nonlinear dynamics analysis, SINDYc integrated and MPC for enhanced system performance, showcased a significant reduction in energy consumption without compromising the system's efficiency or reliability.

AI-enhanced fault-tolerant control and security in transportation and logistics systems: addressing physical and cyber threats

Transportation and logistics systems are becoming increasingly complex and critical to modern infrastructure. This paper proposes a novel AI-enhanced fault-tolerant control framework to address the dual challenges of physical malfunctions and cyber threats. By leveraging advanced machine learning algorithms and real-time data analytics, the proposed methodology aims to enhance the reliability, safety, and security of transportation and logistics systems. This research explores the foundations and practical implementations of AI-driven anomaly detection, predictive maintenance, and autonomous response systems. The findings demonstrate significant improvements in system resilience and robustness, making a substantial contribution to the field of intelligent transportation management.

Транспортная безопасность современного государства как социоюридический феномен

Introduction. The article is devoted to the issues concerning transport security – a complex socio-juridical formation, an element of national security of the state. Awareness of the determinacy of transport security by the political influence of the state in the international sphere contributed to the recognition of the development of transport infrastructure and its improvement as a national priority of the state. The historiographical analysis of the research subject reveals a number of scientific researches, which highlighted certain aspects of the formation of the idea of transport security and its implementation. However, transport security of the modern state as a socio-legal phenomenon remains uncharacterised. Methods. The research is based on the principles of comprehensive study of legal processes and phenomena, the integrity of theory and practice. The main methodological approaches were systemic and value-based ones. In the course of the research methods of periodisation, retrospective analysis, functional, formal-legal methods, method of content analysis of legal acts were used. An important role belonged to the sociological method, which made it possible, through the questionnaire surveys conducted by the author of the article, to determine the specifics of the subject composition of the transport security system and the peculiarities of law enforcement practice in the field of transport security in the Russian Federation. Results. The degree of development in legal science of questions concerning transport security is revealed; in the context of ideas about the modern state the content of the concept of “transport security” is specified; transport security and its maintenance are characterised as systems; internal affairs bodies are described as a subject of its ensuring; on the basis of independently conducted sociological researches the features of application of legal norms in the sphere of ensuring transport security are determined.

Exploring China's food security evolution from a local perspective

Local food self-sufficiency is a feasible path to make up for supply chain dependence caused by food system globalization. However, despite policies advocating food localization, China's current trends, such as the imbalance between food supply and nutritional demand and the mismatch between production space and consumption space, gradually restrict the sustainability of food security. This study analyzes China's local food security from 2000 to 2020 around the multi-dimensionality of supply, acquisition, and demand. Results show that regional differentiation of China's staple food self-sufficiency has become more significant. As a result, food supply capacity in rapidly urbanizing areas has weakened, and mountainous and underdeveloped areas are difficult to be self-sufficient. Fortunately, staple foods in China are highly accessible, and urban with a population of less than 50,000 have the best food transportation security. Overall, aging and scale management greatly affect China's food system, which currently can resist sudden natural disasters. In the future, decision-makers should focus on urban resources integration and rural land consolidation and realize sustainable food system transition by optimizing the local supply-demand structure through central planning based on popular science and healthy diet structure.

Evaluation of the strength of the truck tractor’s frame under emergency braking conditions

Authors carried out a theoretical study of the force impact during emergency braking on the strength of the frame of a truck tractor as a part of a road train with a semi-trailer in order to build a model of the dependence of the safety factor index of the frame on the geometric and weight parameters of the car, semi-trailer, transported cargo and the type of the pavement. Using D'Alembert's principle, a generalized calculation scheme of the frame of the semi-trailer and the truck unit after reaching a steady deceleration during emergency braking while maintaining straight-line movement and adhesion of all wheels to pavement was made. Through a static calculation, the dependences for the unknown reactions of the car frame constraints were obtained, its dangerous cross-section was established, and the condition for the static strength of the longeron was determined. Using this condition and the obtained ratios for active and reactive loads, a model of the dependence of the safety margin coefficient of the car frame on the road train parameters was built. By the example of a road train consisting of a KrAZ-6446 truck tractor and a VARZ-6006 semi-trailer the application of the constructed model for evaluating the strength of the car frame and determining the permissible safe zone location of the center of gravity of different weights cargo in the plane of the road train is demonstrated. The method proposed in this work and the built model can be used to study the strength of the frames of truck tractors and semi-trailers of other manufacturers and types and to establish safe schemes for the placement and fastening of loads to ensure the operational reliability of the vehicle and the safety and security of cargo transportation.

Traffic Light Control in Vehicular Network Systems using Fuzzy Logic

Vehicular concentration is getting worse in big and developed cities as we approach the year 2020, creating a challenge. Accurate traffic signal management is a key to efficient free traffic movement and increasing transport security levels. It is thus important to have traffic lights that change with the traffic intensity information that is collected in real-time. Thus, the objective of this study is to design a viable traffic signal control algorithm that would cause minimal delay to drivers. Building on the basis of fuzzy logic, the approach sets input attributes like the volume of the street and the queue of vehicles to identify the right traffic light settings. Performance criteria for evaluation include the average waiting time of the vehicles, and the findings of simulations in this regard show 21.7 seconds, which is faster than the benchmark formula of 25 seconds. This improvement is attributed to the fact that the fuzzy control system is adjustable.

Exploring the factors hindering the intention to adopt sustainable transportation options in Addis Ababa, Ethiopia: using structural equation modeling

With poor transportation infrastructure and increased reliance on motorization, fast-growing cities in the Global South that are experiencing rapid urbanization have received less attention in terms of sustainable transportation research. In this regard, it is imperative to support active mobility and public transit that help to reduce vehicle emissions, traffic congestion, road fatalities, and energy depletion while supporting public health, robust economies, and social equity. However, in the emerging cities context, the adoption of sustainable transportation options are constrained by various factors. This study aims to explore the key factors hindering the adoption of sustainable transportation options in Addis Ababa, Ethiopia. To do so, travel survey data were gathered from 720 households using stratified sampling and analyzed using factor analysis. The results from factor analysis indicated five groups of factors hindering residents’ intention to adopt sustainable transportation options, including (1) infrastructure condition, (2) modal characteristics, (3) land use pattern, (4) policy framework, and (5) technology-related factors. The confirmatory factor analysis also depicts the five latent factors and the contributions of observed variables that are statistically significant (p < 0.01). More specifically, observed variables such as (i) inadequate pedestrian facilities, (ii) lack of bike facilities, (iii) poor public transit facilities, (iv) limited availability of reliable public transport, (v) long wait times, (vi) high public transport fare, (vii) discomfort, (viii) safety and security issues are the most significant factors. Another set of factors includes (ix) walking distance, (x) dispersed land use pattern, (xi) poor land use mix, (xii) inadequate policy support, and (xiii) lack of real-time information. Furthermore, the intention to adopt sustainable modes of transportation is influenced by socio-demographic characteristics such as gender, age, educational status, income, family size, and car ownership. The result contributes to the existing literature by providing insight into adopting sustainable transportation modes in emerging cities like Addis Ababa, which are characterized by several urban transportation challenges.

Implementation of smart mobility and relationship with transportation planning and regional development: A case study of South Tangerang city

Urbanization and suburbanization have led to high population growth in certain city regions, resulting in increased population density and mobility. Therefore, there is a need for a concept to address congestion, public transportation, information and communication systems, and non-motorized vehicles. Smart mobility is a concept of urban development as part of the smart city concept based on information and communication technology. Through this concept, it is expected that transportation services will be easily accessible, safe, comfortable, fast, and affordable for the community. This research aims to analyze smart mobility and its relationship with regional transportation planning and the development of South Tangerang, as well as to design a policy strategy model for the planning and development of South Tangerang with smart mobility. The research method used in this study is a mixed method, including analyzing the relationships and weighting of relationships between variables using the Cross Impact Multiplication applied to a classification (MICMAC) matrix. Multi-criteria decision analysis (MCDA) with Promethee software is also used to obtain the necessary policies. The results of this research indicate that the measurement of relationships between variables shows that smart mobility influences regional transportation planning, smart mobility affects regional development, and regional planning affects regional development. This research also provides alternative policies that policymakers should implement in a specific order. First, ensure the availability of public transportation; second, improve public transportation safety; third, enhance public transportation security; fourth, improve public transportation routes; fifth, provide real-time information access; sixth, improve transportation schedules; and seventh, increase the number of bicycle lanes.

A DEEP LEARNING ENSEMBLE APPROACH FOR X-RAY IMAGE CLASSIFICATION

The application of deep learning-based intelligent systems for X-ray imaging in various settings, including transportation, customs inspections, and public security, to identify hidden or prohibited objects are discussed in this study. In busy environments, x-ray inspections face challenges due to time limitations and a lack of qualified personnel. Deep learning algorithms can automate the imaging process, enhancing object detection and improving safety. This study uses a dataset of 5094 x-ray images of laptops with hidden foreign circuits and normal ones, training 11 deep learning algorithms with the 10-fold cross-validation method. The predictions of deep learning models selected based on the 70% threshold value have been combined using a meta-learner. ShuffleNet has the highest individual performance with 83.56%, followed by InceptionV3 at 81.30%, Darknet19 at 78.92%, DenseNet201 at 77.70% and Xception at 71.26%. Combining these models into an ensemble achieved a remarkable classification success rate of 85.97%, exceeding the performance of any individual model. The ensemble learning approach provides a more stable prediction output, reducing standard deviation among folds as well. This research highlights the potential for safer and more effective X-ray inspections through advanced machine learning techniques.

Integrating Intelligent Sensors for Safe UAV Distribution: Design and Evaluation of Ranging System

In our increasingly electrified society, electricity has become indispensable to both production and daily life. However, high-load electric energy transmission presents inherent safety risks. To ensure the secure transportation of electric energy, live work on distribution networks is essential. However, traditional live work techniques require a high level of dependence on worker experience, which frequently leads to inaccurate safety distances and degrades worker security. This study proposes the integration of Unmanned Aerial Vehicles (UAVs) with intelligent robot sensing technology to enhance safety and efficiency in live work. By accurately measuring safety distances, UAVs offer a promising solution to mitigate risks associated with high-voltage circuits. Comparative analysis between traditional and intelligent live work safety distance measurements reveals the two live works under the high voltage circuit were 92% and 96%, respectively, and the accuracy of the two live work safe distance measurements under the low voltage circuit was 84% and 99%, respectively. Results demonstrate that UAVs equipped with intelligent sensing technology achieve superior accuracy in safe ranging for live work, thereby ensuring stable energy transmission and safeguarding the lives of workers in distribution networks. Doi: 10.28991/HIJ-2024-05-03-04 Full Text: PDF

Developing a dynamic/adaptive geofencing algorithm for HVTT cargo security in road transport

Developing a dynamic/adaptive geofencing algorithm for HVTT cargo security in road transport

Security Theatrics: The Role of Visual Cues in Simulated Attacker Target Selection

Visibly deterring potential adversaries is central to security risk assessment and planning operations within many agencies including the Transportation Security Administration (TSA). Many visible security elements are employed by TSA toward these goals. Questions remain whether these elements deter/displace attackers, and answers are elusive in these data-poor contexts. Using a novel adversarial exercise with a national sample, our paired conjoint experiment across visibly-changing aviation environments finds the majority of tested security infrastructure visibly deterred simulated adversaries. Canine officer presence deterred, biometric scanners induced, and queue density had no appreciable effect upon target selection. Our findings offer useful criminological insights, clear policy applications, and novel quantitative methods for assessing visible deterrent processes in limited data environments.

Investigation of the Pore Characteristics and Capillary Forces in Shale before and after Reaction with Supercritical CO2 and Slickwater

CO2–slickwater hybrid fracturing technology is an essential part of shale gas recovery and CO2 geo-storage. However, the exposure to supercritical CO2 (ScCO2) and slickwater can result in potential changes of the pore structures and surface wetting behavior, which affect the gas transportation and CO2 sequestration security in shale reservoirs. Therefore, in this paper, X-ray diffraction (XRD), low-pressure nitrogen gas adsorption (N2GA), mercury intrusion porosimetry (MIP), and fractal analysis were used to describe the pore characteristics of shale before and after ScCO2–slickwater coupling treatments. Shale’s surface wettability was confirmed by contact angle measurements. After the ScCO2–slickwater treatments, the number of micropores (<3.5 nm) and mesopores (3.5–50 nm) increased, while that of macropores (>50 nm) declined based on the N2GA and MIP experiments. Combined with fractal analysis, we argue that the pore connectivity diminished and the pore structure became more complicated. By analyzing the results of XRD, shale pore changes occurring after the ScCO2–slickwater treatment can be explained by the adsorption of polyacrylamide (PAM). Contact angle measurement results showed that the shale’s surface treated by ScCO2 and slickwater was more hydrophilic than that treated by ScCO2 and water, and indirectly prove our argument above. Hence, the coupling using effect of ScCO2 and slickwater can impair the negative effect of CO2 on the shale capillary force to improve shale gas productivity, but it can negatively affect the security of CO2 sequestration in shale reservoirs.

Sustainable operation of on-street parking within Hilla City by Simulation Model (VISSIM) with Surrogate Safety Assessment Model (SSAM)

Abstract The preservation of sustainability poses an ongoing and persistent problem. To attain sustainability, it is imperative to prioritize the preservation of road traffic safety, the prevention of crashes, the utilization of pollution-free vehicles, and the secure transportation of commodities. The research approach employed in this study involves collecting data about many factors, including air pollution, noise levels, incident frequency, and traffic volumes. The study focuses on 20 links with on-street parking facilities in Hilla City, Iraq. This study uses the VISSIM microsimulation model SSAM software. This study used PTV VISSIM (Thesis) 2024 (SP 02). This license(Thesis) of PTV VISSIM software enables one to conduct the research unlimitedly, which is good for obtaining accurate results. The simulation time used in this study is 3600 seconds. PTV ViSSIM software enables the emulation of traffic movements on selected streets that contain on-street parking. Six streets in Hilla City are divided into 20 links. The streets were monitored using video recordings to collect real traffic data, which was then used to estimate delay and emissions. Additionally, trajectory files were created for future analysis. The SSAM program can be used to determine the conflicts in each link. The simulation models were effectively calibrated and validated using actual data. This study assesses the sustainable, social, economic, and environmental aspects of roadways, including on-street parking spaces. This project intends to construct a sustainable composite index utilizing existing data collection methods. Existing data on urban transportation sustainability considers economic factors like delay, social factors like safety, and environmental factors like noise and air pollution. The composite sustainability index incorporates economic, social, and environmental data, effectively tackling the difficulties related to normalization, weighting, and aggregation. This study aims to evaluate the long-term viability of transportation in Hilla’s central business area (CBD) by considering the incorporation of on-street parking. The Composite Sustainability Transportation Index (ICST) results for links with on-street parking in Hilla City indicate that the sustainability operation is evaluated at different levels: low (8 links), moderate (7 links), and high (5 links).

Bibliometric Insights into Balancing Efficiency and Security in Urban Supply Chains

This study examines the balance between urban transportation security and supply chain efficiency amid global disruptions like the COVID-19 pandemic, attacks on maritime lanes, and geopolitical conflicts. The authors combine bibliometric network analysis and natural language processing (NLP) to review scholarly literature from 2017 to 2023. This approach identifies and visualizes evolving thematic trends. Findings reveal a shift towards integrating advanced technologies, such as blockchain, AI, and IoT, to enhance security without compromising efficiency. This study highlights the significance of integrating urban planning principles and sustainable practices to enhance transportation security and supply chain efficiency within urban environments. Actionable insights for policymakers and supply chain managers emphasize the adoption of integrated, technology-driven security solutions to foster resilient and sustainable supply chains. This research contributes to academic discourse by refining the understanding of evolving priorities in transportation security and supply chain management, offering both theoretical and practical implications for secure and efficient global supply chains.