Transportation System Services Research Articles

Optimization of Electric Bus Scheduling Using Genetic Algorithm: A Case Study in Public Transport of UNNES Campus Area

The transportation service system requires improvements to evolve into a smart and more efficient system. Passengers waiting at bus stops can create long queues, causing a lack of available shuttle bus capacity when arriving at the bus stop. This work proposes a genetic algorithm model to minimize passenger waiting time and schedule shuttle buses to stops with high capacity. The Genetic Algorithm works by searching for the optimal value to result in optimal waiting time by providing calling shuttle bus. After the method reaches the optimal solution, the simulation result will provide a minimum waiting time. In case studies of simulated design at either campus in Central Java, Indonesia. This method provides a simulated system shuttle bus on scheduling to raise a challenge in waiting time efficiency and passenger accumulation at campus transportation. The case studies of the application on passenger waiting time showcase the model's ability to improve transportation services in the unscheduled campus area. This system was designed to ensure that it was effective in addressing the transportation challenges faced by students and staff. Use the full potential of bus transportation in the campus area to ensure continuity between stops and city transportation. Therefore, this approach reduces waiting times and schedules to overcome challenges posed by passenger accumulation for structured campus transportation services. Keywords—Shuttle Bus; Genetic Algorithm; Campus Area; Minimize Waiting Time; Scheduling; Optimization.

Exploration of UAV Application Skill Competition and Talent Training Mode of UAV Application Technology Major

By 2035, China will gradually establish an unmanned air transportation service system covering manned air transport, and form a batch of unmanned aircraft enterprises that are in an international leading position in the fields of aviation manufacturing, flight monitoring and operation, etc. In January 2022, the Civil Aviation Administration of China (CAAC), the Development and Reform Commission (NDRC), and the Ministry of Transportation (MOT) jointly issued the 14th Five-Year Plan for the Development of Civil Aviation. Plan, proposing to accelerate the technological innovation of drones, improve relevant laws and regulations, and carry out high-quality services to realize the positive and innovative development of the drone industry. In February 2020, China added 16 new occupations, of which drone installation and maintenance worker and drone pilot have been officially included in the National Occupational Classification Catalog. The article discusses the drone application skill competition and the talent cultivation path of drone application technology for related personnel s reference.

Determination of demand for freight rail transportation. The relationship between the quality of transport services and demand

In the modern world, rail transport plays a huge role in ensuring the economic and social stability of the state. Due to its reliability, accessibility and safety, rail transport is able to meet the needs of a wide variety of population groups and sectors of the economy. One of the important aspects of the functioning of railway transport is its ability to provide efficient and high-quality cargo transportation services.In this regard, the purpose of this study is to identify the relationship between the demand for freight transportation and the level of service in the context of railway infrastructure. We rely on the non-price elasticity method to determine more precisely how changes in the quality of service can the demand for freight rail transportation.To achieve this goal, a number of tasks have been analyzed, such as analyzing the current state of railway transport, studying the possibilities of its growth and development, determining the current needs of the market and assessing the compliance of the services provided with these needs. In addition, the system of forecasting the demand for rail freight, based on the analysis of financial, economic and quantitative indicators, is considered. The first determine the capital costs of upgrading the current state of the infrastructure, focused on the repair and renewal of fixed assets. The latter determine the volume values of the cargo turnover and the average weight of the train. It is also necessary to develop a step-by-step methodology for determining the coefficient of non-price elasticity, to illustrate the dependence of demand for transportation on the level of quality of transport services.All this made it possible to determine how effective and expedient the existing cargo transportation service system is.The choice of this topic is due to the increasing need to increase the stability and reliability of railway transport, increase its accessibility and safety, as well as improve the quality of services provided. Thus, the identification of the relationship between the demand for rail freight and their quality based on the methodology of non-price elasticity contributes to the optimization of railway transport, improving its competitiveness, and stimulates the economic growth of the country.

Pothole detection in bituminous road using convolutional neural network with transfer learning

<p>The challenges of road maintenance, particularly in detecting potholes and cracks, and the proposed method using transfer learning and convolutional neural networks (CNNs) are significant advancements in this domain. Transfer learning is particularly beneficial, as it allows leverage pre-trained models to enhance the performance of the pothole detection system. CNNs, with their ability to capture spatial hierarchies in data, are well-suited for image-based tasks like pothole detection. The potential applications of the suggested method for intelligent transportation systems (ITS) services, such as alerting drivers about real-time potholes, demonstrate we research’s practical implications. This contributes to road safety and aligns with the broader goals of innovative city initiatives and infrastructure management. Achieving a 96% accuracy rate is a significant result, indicating the robustness of the proposed approach. Using this information to assess initial maintenance needs in a road management system is forward-thinking. Overall, we work is a valuable contribution to intelligent transportation and infrastructure management, showcasing the potential of advanced machine-learning techniques for addressing critical issues in road maintenance.</p>

Penerapan Sistem Informasi Batik Solo Trans Berbasis Website dengan Metode Prototype Guna Mendukung Sektor Pariwisata Kota Solo

The city of Solo or commonly dubbed as “Solo The Spirit of Java” is a city famous for its tourism and cultural sectors. The lack of information about Batik Solo Trans public transportation is one of the obstacles to mobility in Solo, including mobility in the tourism sector. With the lack of information about Batik Solo Trans Public Transportation, it gave birth to an idea to develop a website designed to provide information about Batik Solo Trans Public Transportation. The information contained is about route details, operational hours of Batik Solo Trans public transportation, and the cost required to use Batik Solo Trans public transportation. The Website-Based Batik Solo Trans Public Transportation Service System with the Prototype Method is specifically designed to help passengers to use public transportation more easily and get to their destination smoothly using Batik Solo Trans Public Transportation. With this website, access to Batik Solo Trans becomes easier, and is expected to increase mobility in Solo City, especially in the tourism sector.

The Impact of Online Transportation Services on Indonesian Urban Non-Working Trip Volume and Distribution Pattern: A Case Study in Bandung City

The development of digital technology has made it much easier for most people to access online communication through smartphones. Such a phenomenon has encouraged operators to develop an online transportation service system, which has also been growing in Indonesian urban areas. The urban community accepts the new alternative of the application-based transportation system since it offers a much more efficient way to reach transportation services. Moreover, the online transportation system also offers a much wider range of destination locations. It is believed that the creation of an application-based transportation service system will affect metropolitan areas' social and economic conditions and how urban communities’ travel. The development of this application-based transportation service would change the configuration of urban non-working trip distribution patterns, which should be understood as inputs for the urban transport development plan. This research aims to understand the impact of online transportation services on non-working trip distribution patterns in Indonesian urban areas, with Bandung City as the case study. The method used in this research is statistical descriptive, using respondents' responses to map the influenced trip generation and distribution patterns. The results show that online transportation has enabled the community to travel more easily and reach wider areas. Such changes have formed a new travel pattern that extends the destination locations to a wider peri-urban area. In the future, the government should anticipate urban fringe area land use growth, changing the region into more "urbanized-built-up" areas.

Analisa Kelayakan Finansial Proyek Automated People Mover System Bandar Udara Internasional Soekarno-Hatta

The growth in the number of passengers continues to increase every year, so increasing capacity is a challenge for airport operators, including by increasing the number of sub-terminals, namely: terminal 1, terminal 2 and terminal 3. being a passenger is a new problem that must be solved because the lockdown creates the potential for traffic jams and causes passengers to be late. To overcome these problems, Soekarno-Hatta International Airport has made modifications to carry out infrastructure development that can provide an integrated, dedicated transportation service system so that priority passenger mobility can be served properly. The operation of flying boats is a service system supporting intermodal and inter-sub-terminal connectivity, the cost of organizing flying boats requires quite large costs, namely investment costs and operational costs. / Passenger Service Fee (PSC), since the corona virus disease (covid 19) pandemic, this income has been decreasing. The research aims to financial analysis of the Automated People Mover System Project and perform calculations such as the Internal Return Rate, Net Present Value, Return On Investment, and Pay Back Period. The research results are declared not feasible because they are not providing benefit.

Expressway Service Area Service Quality Analysis

Expressway service area is to provide services for people in the city between the city, but also an indispensable link in China’s road transport service system, its service quality and service satisfaction are directly related, the construction of service facilities and the quality of the highway service area will play a role in promoting. The service area is an important link in China’s road transport system. With the rapid development of China’s economy, the service quality requirements continue to improve, and improving the service quality of the service area has become a top priority. Taking the service quality of the expressway service area in Shaanxi Province as the research object, this paper uses the questionnaire survey method to analyze the service quality of the expressway service area in Shaanxi Province in five dimensions: formability, reliability, assurance, responsiveness and empathy, and establishes the service quality model by using the hierarchical analysis method. Through the calculation comparison, people’s satisfaction with each service quality factor in the highway service area is obtained, the average satisfaction value of each impact factor is about 7.5 points, the satisfaction of “reasonable layout of the service area and complete facilities” is the highest, the average value is 8.10, and the satisfaction of “fully understanding customer needs” is the lowest, the average value is 7.42, through the analysis of the relevant data on the service quality satisfaction of the highway service area, it is found that people are generally dissatisfied with the service quality. The satisfaction of drivers and passengers with the service area directly affects the level of economic benefits. This article studies the influencing factors of driver and passenger satisfaction and aims to improve the economic benefits of the service area by improving driver and passenger satisfaction.

Application of an Improved A* Algorithm for the Path Analysis of Urban Multi-Type Transportation Systems

The modern urban transportation service network could be split into unrestricted and restricted networks depending on whether travelers face limitations in route selection. Along with the continuous expansion of the city, it is difficult for travelers to find a more reasonable travel solution when confronted with such a complex transportation service network, which combines both unrestricted and restricted networks, especially for the park-and-ride (P&R) travel mode. This paper addresses the issue of route analysis in modern urban transportation service systems to provide travelers with reasonable travel solutions based on multiple types of transportation services. An improved A* algorithm is proposed to address the optimal path analysis for restricted networks to provide reasonable travel solutions for public transportation trips. Furthermore, by establishing the topological relationship between restricted and unrestricted networks, this paper presented an improved A* algorithm based on hybrid networks that solves the optimal path analysis problem for P&R trips, bringing convenience to many urban travelers.

Methodology for Designing a System of Public Passenger Transport in a Functional Region

Transport, as an object of research and design, is directly influenced by other functional components of the territory, it is caused by them, but at the same time it determines them in terms of limitations and development. A comprehensive approach to the design of transport systems involves a wide range of analytical and synthetic activities. Transport and territory are interrelated, while transport is one of the main factors defining the functionality of territorial structures. The development of transport systems brings greater availability of work, services, and leisure activities. The transport solution in the territory must be directed towards the adequate satisfaction of the transport needs, which are characterized by the intensity of the transport relations in the territory, depending on the time and quality of the relocation. The article presents a methodology for the design of regional public passenger transport lines, in accordance with the principles of sustainable mobility, supporting the competitiveness of public passenger transport and the efficient use of resources. The proposed methodology presupposes an already completed and processed analytical phase of the transport planning process and includes the impact of public passenger transport on the external environment. The methodology is applicable under the conditions of designing a completely new transport service system, as well as in the process of reorganizing existing transport systems, including rail and bus transport.

Visualising Transformations of Geographical Time–Space by Transport Systems. The Case of Germany, 1990–2020

By accelerating the overcoming of space on certain relations, transport systems alter the accessibility of places and distort geographical time–space. Particularly in the case of discontinuous and tiered transport systems such as (high-speed) rail networks, effects on time–space can be highly selective and difficult to visualise. This paper compares different methods of operationalisation and visualisation of the effects of new transport systems (infrastructures and services) on time–space, and examines their strengths and weaknesses, using the example of the evolution of the German rail network between 1990 and 2020. The methods are well-known ones such as isochrones, choropleths using measures from network theory, anamorphosis (cartograms) and less-known ones as spring maps and the shrivelling model. For the examination of the readability of the methods, we present relevant properties for time–space maps. The results suggest that conventional methods are simpler to interpret, but fail to convey certain properties, while less frequently used methods may be better at incorporating the properties at the cost of being more difficult to read.

DAG-based swarm learning: a secure asynchronous learning framework for Internet of Vehicles

To provide diversified services in the intelligent transportation systems, smart vehicles will generate unprecedented amounts of data every day. Due to data security and user privacy issues, Federated Learning (FL) is considered a potential solution to ensure privacy-preserving in data sharing. However, there are still many challenges to applying the traditional synchronous FL directly in the Internet of Vehicles (IoV), such as unreliable communications and malicious attacks. In this paper, we propose a Directed Acyclic Graph (DAG) based Swarm Learning (DSL), which integrates edge computing, FL, and blockchain technologies to provide secure data sharing and model training in IoVs. To deal with the high mobility of vehicles, the dynamic vehicle association algorithm is introduced, which could optimize the connections between vehicles and road side units to improve the training efficiency. Moreover, to enhance the anti-attack property of the DSL algorithm, a malicious attack detection method is adopted, which could recognize malicious vehicles by the site confirmation rate. Furthermore, an accuracy-based reward mechanism is developed to promote vehicles to participate in the model training with honest behaviors. Finally, simulation results demonstrate that the proposed DSL algorithm could achieve better performance in terms of model accuracy, convergence rates and security compared with existing algorithms.

MODELLING THE ECONOMIC INFLUENCE OF TRANSPORT SYSTEM ON TOURISM PERFORMANCE. THE EXPERIENCE FROM LAGOS STATE, NIGERIA

Globally, travel and tourism opportunities are highly sought-after by most nations, but very few developing nations, including Nigeria, play good supporting roles to benefit from the profitable and lucrative industry. The reasons for this are not unconnected to the poor investment in tourism infrastructure, especially transport, to support tourism activities and sustain tourism performance. It is against this background that this study modeled the economic influence of the transport system on tourism performance using Nigeria’s Lagos State experience. This study is anchored on an ex-post facto research design and relies on quantitative data from the relevant ministries of the Lagos State Government. Both descriptive (charts and graphs) and inferential (multiple linear regression analysis) statistics were methods of data analysis. Major findings revealed that only the annual revenue from transport system services out of the nine (9) evaluated performance indicators showed internal consistency and a positively increasing growth pattern. Furthermore, research found that the level of transport investment has a statistically significant relationship with the performance of the tourism industry (. Meanwhile, findings also revealed that there is a statistically significant relationship between the transport system’s revenue and tourism performance (. Given these, this study affirmed that the tourism performance greatly depends on the transport system’sinvestment and revenue and concluded that the fluctuating and poor tourism performance in Lagos State, Nigeria, is a function of the transport system's economic influence. Thus, this study recommends, among others, consistent investment and improvement in the transport system, most especially the infrastructure that will support tourism activities and increase tourism revenue.

СБАЛАНСИРОВАННОСТЬ ТРАНСПОРТНОГО ОБСЛУЖИВАНИЯ НАСЕЛЕНИЯ ГОРОДОВ: ОСНОВНЫЕ ПОДХОДЫ

The article selects, studies and structures possible approaches to the assessment of the balance of transport services for the population of cities. The authors have been analyzed the experience in solving the problem of balance the system of transport services for the population of cities and some regulatory documents in the organization of passenger transportation, including those governing the optimization of the structure of public passenger transport. The paper presents ideas about the current level of balance of the Tyumen public passenger transport system. It has been formulated the conclusions about the relevance and prospects of this kind of research in relation to the transport service systems in large cities of the Russian Federation.

Применение средств визуализации для задач оптимизации транспортной модели

The article discusses the combination of problems of transport system simulation and the visualization of the results of the optimization experiment. Simulation is widely used in logistics and supply chains, healthcare, transport, warehouse and transportation management, finance, business processes, service systems, railways, strategic planning and management. The paper discusses the solution to the optimisation problem for management of the intersection of roads of the megalopolis transport network taking advantage of one of the AnyLogic simulation tools. The AnyLogic development environment uses an object-oriented approach that helps in the organization and presentation of complex systems. Built-in animation tools make it easy to visualize the simulation model, as well as interpretation of the behavior of complex systems. The manuscript describes the visualization of the construction of an intersection and solving the problem of calculating the optimal duration of traffic light phases using an optimization experiment.

Optimizing Traffic Flow in Smart Cities: Soft GRU-Based Recurrent Neural Networks for Enhanced Congestion Prediction Using Deep Learning

Recently, different techniques have been applied to detect, predict, and reduce traffic congestion to improve the quality of transportation system services. Deep learning (DL) is becoming increasingly valuable for solving critiques. DL applications in transportation have been collected in several recently published surveys over the last few years. The existing research has discussed the cloud environment, which does not provide timely traffic forecasts, which is the cause of frequent traffic accidents. Thus, a solid understanding of the difficulties in predicting congestion is required because the transportation system varies widely between non-congested and congested states. This research develops a bi-directional recurrent neural network (BRNN) using Gated Recurrent Units (GRUs) to extract and classify traffic into congested and non-congested. This research uses a bidirectional recurrent neural network to simulate and forecast traffic congestion in smart cities (BRNN). Urban regions worldwide struggle with traffic congestion, and conventional traffic control techniques have failed miserably. This research suggests a data-driven approach employing BRNN for traffic management in smart cities, which uses real-time data from sensors and linked devices to control traffic more efficiently. The primary measures include predicting traffic metrics such as speed, weather, current, and accident probability. Congestion prediction performance has also been improved by extracting more features such as traffic, road, and weather conditions. The proposed model achieved better measures than the existing state-of-the-art methods. This research also explores an overview and analysis of several early initiatives that have shown promising results; moreover, it explores two potential future research approaches to increase the accuracy and efficiency of large-scale motion prediction.

Understanding Influencing Factors of Travel Mode Choice in Urban-Suburban Travel: A Case Study in Shanghai

After the rapid expansion of the subway system over the past two decades, some cities are preparing to build more suburban railways. The emergence of suburban railways is bound to change the choice of suburban passenger transportation. This paper studies the factors that affect the choice of travel mode at the construction stage of suburban railways, aiming to design a more rational suburban railway network and urban public transport service system. Taking Shanghai as an example, this study first surveyed revealed preference (RP) and stated preference (SP) among urban-suburban travelers. Then, we used discrete choice models (DCM) and machine learning algorithms to build a travel mode choice model based on data collection and analysis. Furthermore, the importance of each factor was analyzed, and the effects were predicted under several traffic demand management schemes. Finally, this study proposed some strategies for increasing the share of public transport. On the one hand, it is suggested that Shanghai should continue to develop suburban railways and maintain low pricing of public transport services. Considering the construction and operation costs, the government needs to provide certain subsidies to stabilize prices. On the other hand, as passengers are very sensitive to the “last mile” trips in their suburban railway travel, transport planners should strengthen the connection from and to the suburban railway stations by developing services such as shared bikes and shuttle buses. In addition, the results indicated that some traffic demand management measures can also contribute to a larger share of public transport.

Prioritization of Exigency Services in Multi-Agent Transportation Systems

Prioritization of Exigency Services in Multi-Agent Transportation Systems

Deadly Marburg virus in Ghana, 2022 amidst monkeypox and COVID-19 pandemic: A distressing concern for public health.

Deadly Marburg virus in Ghana, 2022 amidst monkeypox and COVID-19 pandemic: A distressing concern for public health.

Will electric car-sharing attract citizens of touristic islands? Evidence from the island of Rhodes, Greece

The introduction of shared mobility services in transportation systems has created the potential to address traffic congestion and environmental issues, which derive from passengers’ transport. Thus, shared mobility services, including electric car-sharing, can significantly assist the formation of sustainable cities. Although car-sharing systems have already been established to several cities worldwide, Greece lags in adopting these systems. The sense of ownership for the citizens is strong and there is a great tendency of using private cars. It is observed that this tendency is even higher for the citizens of touristic islands. For understanding whether electric car-sharing could attract a part of the citizens, a questionnaire survey was conducted in the island of Rhodes, Greece. A stated preference experiment is included in the questionnaire, where the citizens were asked to select among a shared electric car and their private car, in scenarios where the trip duration and cost are fluctuated. Descriptive statistical analysis and a discrete choice model were implemented for analyzing the gathered responses. Through the discrete choice model, the parameters that affect the intention of the citizens to use a shared electric car are being identified and the value of time of the citizens is being also computed. Based on the results, useful policy and market-oriented recommendations derive.