Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport

The problem of transportation management has many variables but its solution must be guided by societal needs based on expected benefits and ways of achieving them. Thus transport management can be immensely enhanced and simplified by the use of a geospatial information system. Lagos, the commercial center of Nigeria, has been suffering from traffic congestion for decades. The loss suffered as a result of this congestion cannot be easily quantified economically and socially. This article presents empirical solutions to transportation problems in the Lagos Metropolis using the “Bottom–Top” approach, from “Transaction‐Based” at local government level to “Multimodal” at the metropolitan level. The Stochastic User Utility Model was adopted to estimate the appropriate representation of human heterogeneity, flexibility and variability on mode choice relative to route travel times. The use of Assisted GPS Cameras provides some level of intelligence on the transportation routes. Results obtained include a travel demand survey (household‐based) within a Traffic Zone and Sampled Trip Production/Trip Attraction Analysis based on Modes of Transportation. Geospatial Analysis carried out included Proposed Multimodal Transportation Routes with Transfer Points (TPs) and Incident Facility Management analysis. The synergy of Multimodal and Intelligent Transportation System (MITS) to obtain an integrated Multimodal Transaction‐Based Intelligent Transportation System (MTBITS) will enhance efficient transportation systems for the Lagos Metropolis.

The concept of smart transportation systems is increasingly becoming critical in addressing the challenges posed by an increasing number of mega cities in both developed and developing regions in maintaining safety, smooth traffic flow, and an environmentally friendly and sustainable urban environment. The Government of Zimbabwe deregulated its transport sector in the early 1990s. This development ushered in the informal public transport operators, locally referred to as ‘kombis'. Major cities such as Harare are characterised by a disjointed and chaotic urban public transport system. The major problems are the impacts this has on the quality of the environment. Currently, the urban public transport system is contributing greatly to both air and noise pollution within the confines of the city, especially in the Central Business Districts. The problem is further exacerbated by the massive importation of used vehicles from outside the country. These developments have resulted in high emission rates of major air pollutants resulting in a deterioration of the ambient air quality especially in the major cities such as Harare. Transportation is a major source of air pollutants. Vehicles are probably the largest single source of pollutants such as hydrocarbons, nitrogen dioxide and carbon monoxide. Other harmful emissions include as lead, benzene, arsenic, aldehydes, sulphates, particulate matter and the secondary creation of ozone. In Harare the number of registered vehicles increased from 192 901 in 1994 to 292 862 and by August 1999 showing that the increase in the number of vehicles is mostly in the cities. This chapter seeks to explore how smart transportation system can be adopted in Harare, the capital city of Zimbabwe. Harare was purposefully selected as it is experiencing rapid urbanization and motorization in the country. Using documentary analysis, discourse analysis and textual analysis, the chapter also describes and examines the challenges, constraints and opportunities of adopting smart urban transportation system in Harare. From this chapter the major conclusions are that the main problem associated with this rapid growth in vehicle population in the major cities is increase concentration of line and area emission sources due to traffic congestion at peak times. The stock of vehicles is quite old and they lack emission control equipment. Major constraints and limitations are observed in the current pieces of legislation. For example, the current Atmospheric Pollution Prevention Act (1971) does not require vehicles to be fitted with emission control equipment. Most of the vehicles use leaded fuel resulting in emission of the dangerous lead particulate matter in the urban areas. There is therefore an urgent need to design and implement air pollution control measures in the urban areas of the country. It is also critical to develop smart and eco-friendly transportation infrastructures so as to achieve sustainable urban communities. The integration of transportation, land use and decision making is also critical in the achievement of smart transport.

Aim. Threats of a non-physical nature have a significant effect on the security of intelligent transportation systems (ITS). They may have the form of unlawful interference in the development and implementation of ITS. The creation of a trusted framework for the development and implementation of ITS is examined as in the case of intelligent water transportation systems (IWTS). Problems. By decree of the President of the Russian Federation, ITS, telecommunications and security of information processing are among the priority areas of scientific and technological development. ITS technologies, as well as those involved in the creation of trusted, secure system and application software are among the most important critical high technologies. The operation of ITS involves wide use of computerised systems that implement the latest information and telecommunication technologies, automated and automatic control technologies, artificial intelligence that can pose security threats. ITS are to be developed and operated in a trusted environment. Methods. The paper used the methodology for ensuring the security of IWTS, development of secure hardware and software platforms for secure automated systems, methods of system analysis, dependability theory, information protection, and law. Results. The paper defines the problem of creating a trusted framework for the development and implementation of IWTS, the applicable terminology is developed. The author examined the effect of IWTS on the security of critical information infrastructure (CII) and national security, developed a model of relationships between the IWTS security domains taking into account threats of physical and non-physical origin. Examples of computer incidents within IWTS that caused consequences at the national and international levels are given. The composition of the IWTS facilities attributed to CII is defined, critical processes implemented by standard CII facilities as part of the IWTS are set forth. The author lists conceptual problems of IWTS security, defines the principles of creating a trusted framework for the development and implementation of IWTS. Conclusion. Ensuring the security of IWTS against modern threats requires solving a number of problems associated with the creation of a trusted framework for the development and implementation of IWTS. For the purpose of improving the timeliness and quality of their solution, the paper proposes an intuitive terminology that reflects the subject area and helps finding a common understanding of the security domain by experts from various industries. IWTS facilities have an effect on CII security and national security in general. That is taken into account in the model of relationships between IWTS security domains, demonstrated using cases of computer incidents within IWTS that caused consequences at the national and international level. Given the above, the paper lists IWTS facilities attributed to CII and sets forth examples of critical processes implemented by standard CII facilities as part of the IWTS. The defined list of conceptual IWTS security problems take into account the growing landscape of IWTS security threats that includes insecure software, hardware and software platforms, software and hardware systems and emerging technologies. When developing the principles for the creation of a trusted IWTS development and implementation framework, the author took into account the best practice of implementing the methodology for creating national secure hardware and software platforms of CII facilities that enables the creation of secure automated systems for various applications that are based on domestically-developed solutions. The examined matters are of a systemic nature, which allows using the findings in the development and implementation of ITS in other modes of transportation.

Background. The article provides an overview of the current state of the railway container transportation market. Statistical data on the container transportation market is presented and analyzed. The article provides an overview of the work aimed at improving the organization of container transportation by rail. A generalized scheme of container delivery using rail transport is developed. The key objectives aimed at ensuring the reliability of container delivery are identified, and the main factors affecting the speed of container delivery are systematized. A mathematical expression of the delivery time of a container for the conditions of a direct option of transshipment from one mode of transport to another and taking into account the processing and storage of cargo at the terminal. Formulated the problem of optimizing the delivery scheme of containers in multimodal transportation in the conditions of the presence of several options of container terminals, their location. At the same time, according to the conditions of the formulated task, one processing of containers at the terminal is provided. A decision support system for changing the method of transportation of container products in multimodal transportation is proposed. Conclusions are drawn about the prospects of using the proposed system by transport and logistics companies. The purpose is to identify options for ensuring the flow and uninterrupted movement of container flows during multimodal transportation. Methodology. The article used an analysis of the current situation in the field of container transportation, mathematical modeling of container delivery time, optimization of the container delivery scheme based on the decision to overload the container at each terminal, and formulated a decision support system for delivery management. Results. The state of container transportation involving rail transport is determined, the analysis of studies in the field of container transportation using rail transport is performed, the directions of ensuring the reliability of container delivery are identified. A decision support system for multimodal container transportation is proposed. Practical implications. The results obtained can be used in the railway container transportation system, as well as by freight forwarding, operator, and transport and logistics companies.

Following the newly adopted European Directive on Intelligent Transport Systems (ITS) 2010/40/EU, officially published on November 30th 2023 under the new code (EU) 2023/2661, opportunities arise for the entire industry. The main aim of the Directive is to promote coordinated deployment of intelligent transport systems in accordance with technological development and user needs. It provides a framework for developing and implementing technologies to improve transportation systems' efficiency, safety, and sustainability within the European Union (EU) and member states. The new European legislation should ensure that ITS applications in the field of road transport enable seamless integration with other modes of transport thus facilitating a shift to those modes whenever possible. This will in time improve the safety, efficiency and accessibility of the European transportation system. In this paper, we are analyzing the main objectives of the EU initiative and changes compared to the initial Directive of 2010 with special regard to changes in Priority III, safety and Priority IV, ITS services for connecting, cooperation and automatization of mobility. Although all key changes are analysed the special focus was on critical services such as road safety-related traffic information services, to be made available across Europe.

Multimodal urban transportation systems exhibit complex inter actions between components, including users, multimodal transportation facilities, supply side agencies, and operators. Although these interactions are obvious, rigorous quantitative methods for optimizing control variables across modes of transportation on real-world networks are deficient. A social welfare maximization model was established for joint optimization of bus fare, rail transit fare, and congestion tolls for private cars. The authors determined the optimality conditions and the second-order partial derivatives for this optimization problem. Because of the complexity of the multimodal urban transportation system, the objective function of social welfare has no closed form and is extremely expensive to evaluate. The authors therefore proposed a simulation-based framework for evaluation of the objective function and optimization of three decision variables across multiple travel modes. Several metamodels (i.e., mathematical functions that approximate the true shape of an unknown, nonlinear, and complex objective function) were adopted to approximate the highly nonlinear input–output mappings in the urban system. This is the first study to develop a simulation-based method for joint optimization of transit and road network operations. The case study applied the simulation-based optimization framework to the Sino–Singapore ecocity in Tianjin, China, by using VISSUM as the urban systems simulator. An “ecocity” is defined by the authors as “a thriving city that is socially harmonious, environmentally friendly, resource-efficient, and a model for sustainable development.” Results show that metamodels can accurately approximate the real objective function and produce good suboptimal and near-optimal solutions. The optimal combination of transit fares and congestion tolls significantly outperform those under two baseline scenarios. The optimal solutions also suggest that extreme transit fares (too high or too low) or congestion tolls are contrary to welfare-maximizing objectives. The proposed method can be applied for joint optimization of other multimodal planning and operational strategies, such as investment and operational decisions across various modes of transportation.

Topicality. The scientific article is devoted to the research analysis of the peculiarities of legal regulation and the construction of the architecture of the intellectualization of transport systems. Transport communications unite companies around the world and are a necessary prerequisite for the integrity of the country and its integration into the world economy through foreign economic activity. In this regard, the transport system is directly related to the economy and the social sphere. The transport policy of any state is characterized by national priorities at the micro and macro levels. A competitive transport system must have the following characteristics: be economically, ecologically and socially sustainable; to be able to recover effectively after natural disasters; have a developed and reliable IT infrastructure.The use of information systems in traffic management is associated with the rapid development of modern cities, an increase in the number of rolling stocks on the streets, new routes and other features. As a result, the amount of information needed for analysis and making operational decisions has increased significantly. The information component will become an integral part of city life. And for more effective use of all the possibilities of intelligent transport systems (ITS), legal regulation is necessary, which includes data protection, standardization, rules for the application of ITS achievements and their further development.Aim and tasks. The purpose of the research is to study the legal foundations of the concept of transport and logistics systems sustainable development.Materials and Methods. The research methodology is based on the analysis of legislative and legal methods of ensuring transport and logistics flows, economic and legal analysis using the general legal framework and special legal acts that regulate the activity of transport and logistics systems. The problem of intellectualization of environmental protection activities is considered both through structural changes in the international economy, through modern processes of development of national transport and logistics systems, as well as through the study of the complex network structure of global logistics chains, where both approaches complement each other.Research results. The rapid development of modern cities, the increase of vehicles on the streets, the development of new routes increases the amount of information necessary for analysis and making operational decisions. This, in turn, stimulates the active use of intelligent information technologies. And the creation of legal incentives for the development of the intellectualization of the transport and logistics system is one of the factors of strengthening the economy and improving the welfare of the population.Conclusion. The conducted research made it possible to conduct an analysis of legal regulation and stimulation of the development of intelligent transport systems (ITS). In particular, at the international and regional levels. The main necessary elements of the comprehensive application of intelligent transport systems are standardization at the international level, in order to be able to create a global system for more efficient use of transport and achieving global goals in the safety of movement and reducing the impact of transport on the environment.

This paper provides a Lagrangian dynamic fluid model of the traffic of Personal Rapid Transit (PRT) system or of personal rapid maglev-transporters. The transport system using these maglev-transporters or sky-podcars operates in the style of demand-responsive systems. The advantage of the sky-podcars is that they are fast and that they do not operate in the same physical space as the other ground transportation modes. Thus they will contribute to alleviate congestion. We model the dynamics of the sky-podcars transportation system and we solve the problem of relocation with minimum cost in this maglev system. An analysis of assumptions of effective operation of the PRT is carried out. Reactive dynamic assignment in such PRT system is described. In a multi-modal transport system where the maglev-transporters mode is taken into account, we describe the multi-modal dynamic assignment and its spatial interactions with other common transportation systems.

Purpose Developments regarding the use of artificial intelligence (AI) in transportation systems, one of the important stakeholders of tourism, are remarkable. However, no review thus far has provided a comprehensive overview of research on AI in transportation systems.Design/methodology/approach To fill this gap, this study uses the VOSviewer software to present a bibliometric review of the current scientific literature in the field of AI-related tourism research. The theme of AI in transportation systems was explored in the Web of Science database.Findings The original search yielded 642 documents, which were then filtered by parameters. For publications related to AI in transportation systems, the most cited documents, leading authors, productive countries, co-occurrence analysis of keywords and bibliographic matching of documents were examined. This report shows that there has been a recent increase in research on AI in transport systems. However, there is only one study on tourism. The country that contributed the most is China with 298 studies. The most used keyword in the documents was intelligent transportation system.Originality/value The bibliometric analysis of the existing work provided a valuable and seminal reference for researchers and practitioners in AI-related in transportation system.

Purpose: The aim of the article is to present the results of a study on the perception and evaluation of intelligent communication and transportation systems, as well as their management, by residents of cities in the Silesian Voivodeship who travel by car, bicycle (scooter), or on foot, as factors contributing to safe and fast movement within the city. Design/methodology/approach: The study was conducted using a proprietary survey based on the Consumer Satisfaction Index (CSI) methodology, and the analysis of the survey results was preceded by a brief literature review on the subject. Findings: The study made it possible to determine how road users evaluate the functioning of the intelligent communication and transportation system in their cities, which factors are the most and least satisfactory for them, as well as the importance they assign to these solutions. Research limitations/implications: The study had a limited scope as it was a one-time survey. It is advisable to continue and expand the sample size for future studies to allow for comparative analyses. Practical implications: The article may provide managers of intelligent communication and transportation systems in cities with knowledge about the expected outcomes of their operation for road users. Social implications: Utilizing the research results may enable better adaptation of ITS to the needs of road users and enhance road safety. Originality/value: The study included drivers, cyclists (scooter riders), and pedestrians. In contrast, most similar studies are limited to verifying the opinions of drivers. Keywords: smart city, smart mobility, management intelligent transports system, cyclists, drivers, pedestrians. Category of the paper: research paper.

Agencies at the federal, state and local level are aiming to enhance the public transportation system (PTS) as one alternative to alleviate congestion and to cater to the needs of captive riders. To effectively act as a viable alternative transportation mode, the system must be highly efficient. One way to measure efficiency of the PTS is connectivity. In a multimodal transportation system, transit is a key component. Transit connectivity is relatively complex to calculate, as one has to consider fares, schedule, capacity, frequency and other features of the system at large. Thus, assessing transit connectivity requires a systematic approach using many diverse parameters involved in real-world service provision. In this paper, we use a graph theoretic approach to evaluate transit connectivity at various levels of service and for various components of transit, such as nodes, lines, and transfer centers in a multimodal transportation system. Further, we provide a platform for computing connectivity over large-scale applications, using visualization to communicate results in the context of their geography and to facilitate public transit decision-making. The proposed framework is then applied to a comprehensive transit network in the Washington-Baltimore region. Underpinning the visualization, we introduce a novel spatial data architecture and Web-based interface designed with free and open source libraries and crowd-sourced contextual data, accessible on various platforms such as mobile phones, tablets and personal computers. The proposed methodology is a useful tool for both riders and decision-makers in assessing transit connectivity in a multimodal transit network in a number of ways such as the identification of under-served transit areas, prioritization and allocation of funds to locations for improving transit service.

Transport and transportation systems in pre-colonial Africa were important aspects of Nigeria’s pre-colonial socio-economic history. Prior to the period of colonial rule and the introduction of mechanised transport systems, the movement of goods and services across domestic and national borders was not alien to Nigerian pre-colonial societies. As against the colonial historiography which described pre-colonial transport and transportation systems as primitive, backward, and incapable of supporting economic growth and development, the article demonstrates, through a thorough examination of pre-colonial transport and transportation systems in the Ilorin Emirate, that such arguments are untrue. Ilorin Emirate, like other pre-colonial towns, has a record of different pre-colonial transportation systems in operation to support its economic growth, trade and market systems, and inter-economic relations. Among the pre-colonial transportation systems widely used in the Ilorin Emirate were the Porterage system and the use of animal packs (camel, horses, and donkeys). These identified pre-colonial non-mechanised transport systems contributed significantly to the growth and development of the Ilorin Emirate. Through these transportation systems, revenues were generated through tolls and taxes, and the expansion of trade and markets, among others, were experienced. The paper relies on primary and secondary sources of data to interrogate the contributions of pre-colonial non-mechanised transport systems.

Intelligent transportation systems (ITSs) have become a cornerstone for the development of modern urban transport, especially in the context of Industry 5.0. This chapter examines the evolution of ITSs in depth, building on its transformation from an automatic, technology-driven ITS solution to a more human-centered approach under Industry 5.0. This new era builds on the interconnectedness of advanced technologies such as artificial intelligence (AI) and machine learning (ML). With a strong focus on well-being and social impact, the chapter explores how AI and ML are transforming ITS by enabling real-time decision-making, streamlining traffic, improving security and mobility, and creating a personalized experience. In the context of optimizing intelligent transportation networks, various machine learning models including supervised, unsupervised, and reinforcement learning have been discussed. Case studies show how these models help reduce distances, improve efficiency, and reduce travel time. In addition, AI-based predictive maintenance of transport systems and vehicles has been highlighted as a key application, significantly increasing reliability and reducing unexpected downtime. Data privacy, model interpretation, and ethical considerations around AI-driven decision-making are thoroughly analyzed. The chapter also discusses future developments in ITS, including the role of next-generation technologies such as 5G, Vehicle-to-Everything (V2X) connectivity, integrated learning, edge AI, and ML algorithms. New advanced features are also explored that promise to make transportation systems more connected, scalable, and secure.

Intelligent Transport Systems consists of applications such as accident warning and avoidance systems. This is an area of interest to us in this research. The accident detection and alert system in the field of ITS (intelligent transportation system) are implemented and analyzed using many statistical methods for proving the accident detection point, GPS Coordinates points search, etc. In this paper, the analysis is performed on how accidents can be prevented using statistical analysis applied to the flow of vehicles in the construction area. This study helps to compare different statistical methods for vehicle detection in accident warning systems. Different statistical methods like Poisson’s probability distribution, Binomial distribution and Negative Binomial probability distributions were evaluated considering the count of vehicles and their distances from the area near or far from the prone area considered in the construction site. The aim of this paper is to evaluate and compare the statistical methods on the real-time datasets collected by hardware configuration of Arduino-Mega, Node-MCU and cloud service thingsspeak.com and shows that Poisson’s statistical distribution performs better than other methods in terms of probability of success. The different statistics like mean, standard deviation, and variance for different statistical methods are evaluated, out of these Poisson performs better.KeywordsAccident avoidanceIntelligent transportation system (ITS)Poisson’s distributionBinomial distributionNegative binomial distribution

Ideology and Practice of Systems Engineering in Multi-Modal Transport Planning