The integration of sustainable tourism and mobility planning is crucial for addressing the complex challenges of environmental conservation, socio-economic development, and community well-being in touristic destinations. This paper introduces the SUSTOURMOB (Sustainable Tourism and Mobility) cycle, a strategy designed to support common sustainable development goals through a transnational approach. Drawing on principles of collaboration and stakeholder engagement, the strategy aims to facilitate co-planning processes that incorporate sustainable mobility solutions into tourism development initiatives. The SUSTOURMOB planning cycle, initially generated for serving Adriatic – Ionian Region destinations, is characterized by iterative analysis, development, testing, evaluation, monitoring, and improvement stages, provides a structured framework for decision-makers to navigate challenges and capitalize on opportunities in the sustainable tourism and mobility sectors. Market trends, technological advancements, policy changes, and crisis management considerations underscore the importance of periodic strategy updates to ensure alignment with evolving circumstances. The strategy's mission statement emphasizes the symbiotic relationship between sustainable tourism and mobility, with a commitment to achieving sustainable development goals. Through ongoing collaboration and adaptation, the SUSTOURMOB strategy offers a pathway towards sustainable tourism development that benefits communities, economies, and the environment.

This research focuses on controlling the motion trajectory of autonomous vehicles by using a combination of two high-performance control methods: Linear Parameter Varying (LPV) and Reinforcement Learning (RL). First, a single-track motion model is researched and developed with coordinate systems to determine the car's motion trajectory through signals from GPS. Then, the LPV control method is used to design a controller to control the car's motion trajectory. Reinforcement learning method with detailed training procedures is used to combine with the advantages of LPV controller. Finally, the simulation results are evaluated in the time domain through the use of specialized CarSim software, which clearly demonstrates the superiority of the research method.

In response to escalating road safety challenges within Algeria, marked by rising traffic volumes and urban development, the "TariqAmn Algeria" initiative emerges as a groundbreaking approach in traffic management. This study delineates the development and deployment of this innovative system, which leverages intelligent traffic signs, LiDAR (Light Detection and Ranging, using laser light to measure distances) radar, and proactive brake control technologies, embedded within a robust traffic management framework. The system's dynamic adaptation to real-time traffic conditions and its enforcement of speed compliance are central to its design. Rigorous evaluations through SUMO (Simulation of Urban Mobility, a traffic simulation software) simulations and field tests in high-risk urban settings affirm its efficacy, demonstrating a 60% reduction in traffic incidents and a 50% reduction in speeding violations. By marrying local cultural insights with cutting-edge technology, "TariqAmn Algeria" not only enhances immediate road safety but also establishes a new paradigm in traffic management systems. The findings illuminate the significant scalability potential of the system, promising broader applications in enhancing road safety and adherence to traffic regulations across various regions, such as densely populated urban areas, high-traffic corridors, and accident-prone black spots. This initiative underscores the critical role of Intelligent Transportation Systems (ITS) in modern road safety strategies and sets a precedent for future technological advancements in the field.

The elderly make up an increasing percentage of the European population and, with it, of the Hungarian population. Modern society is built around mobility. These two factors together lead to an increasing proportion of elderly drivers on the roads. Given the high proportion of people with chronic neurological conditions (stroke, Parkinson's disease, dementia), particular care should be taken to regularly check their fitness to drive. At present, there is no standardized, well-established protocol for the objective assessment of fitness to drive in the case of these diseases. Our paper discusses this matter.

Sustainable mobility emerges as a more viable approach for addressing urban mobility challenges and enhancing overall quality of life. The primary cause of urban mobility issues may be attributed to the urban built environment, wherein various physical features such as buildings, public infrastructure, and transit systems have significantly contributed to the reliance on private vehicles. Hence, this study examines job accessibility and the background of mobility among the low-income groups who are the urban workers in Penang Island, Malaysia to determine the factor of this target group's dominant transport mode choice. Using the quantitative method, this study was conducted using a questionnaire with 306 respondents selected by stratified random sampling based upon a ratio to represent the low-income households in the northeast and southwest districts of Penang. The study revealed that individuals from low-income backgrounds exhibit a significant reliance on privately owned vehicles. Furthermore, individuals in question exhibit a preference for owning and utilising economically viable, temporally expedient modes of transportation that optimise spatial efficiency, such as motorbikes, for their daily commute to their place of employment. Policymakers may take into account the factors of affordability and punctuality when formulating a transport system that is characterised by both cost-effectiveness and efficiency, thereby addressing the mobility requirements of low-income groups.

The operation of state-of-the-art battery electric buses (BEBs) has started recently, and their consumption model is unknown. Therefore, the service providers are lenient regarding the energy used. Our aim was to reveal the effects of ambient temperature and bus service characteristics, such as passenger load and delay, on the energy consumption. Real-time consumption data of BEBs were analyzed in Nyíregyháza, Hungary, and the functional relationships among the aforementioned variables were revealed. We found that while ambient temperature is negatively correlated with consumption in the cold winter periods, the consumption surplus is positively correlated with passenger load and generally positively correlated with the delay on the trip because of road traffic. In the case of delay, the consumption increase is caused by more frequent acceleration and the greater consumption of auxiliary systems due to longer running times. Accordingly, the energy consumption can be estimated if the characteristics data are available. The results can be used by bus service operators to plan the daily schedule and predict the energy consumption of a BEB.

Road Safety has always been a factor of great concern in India as well as across the world. Road Traffic Accidents have been consistently increasing, and to address this issue, the world's governments declared 2021 to 2030 as the 'Decade of Action' for Road Safety. This rise in accidents can be attributed to the increasing motorization escalation, increasing individual modes of transport, soaring speeds, drinking and driving, increasing transportation network patterns and inefficient enforcement, to name a few. If compendiously scrutinized, the losses due to road traffic incidences are wholly avoidable. A comprehensive study was thus conducted to identify the key aspects which can be attributed to road safety. The six key factors were identified, namely the design of roads, the design of vehicles, the role of the law enforcement agency, the part of the Indian judicial system, the function of the Indian medical system, and general public awareness for developing road safety index. Primary data collection among various population segments identified the relative importance of these factors. The weightage based on the importance of these factors was computed using the Logarithmic Goal Programming Model, and thus, the Road Safety Index was developed.

The technology of autonomous driving systems has the potential to bring significant benefits in terms of safety, mobility, and congestion, as well as land use and energy consumption. In this paper, the authors present both the promises and possible dangers of the large-scale implementation of autonomous vehicle technologies in the current road traffic networks. The effects of autonomous mobility technology are complex and require careful consideration. While there is great potential to transform transportation and offer significant improvements in many areas, there are also risks and challenges that need to be addressed to ensure safe, efficient, and equitable deployment of the technology.

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.

It is difficult to determine the ideal way for collecting selective waste since calculations must be made taking into account a variety of collection vehicles, containers, city regions, and verifying vehicles. Additionally, we need to keep in mind that acquiring some statistical information on container filling is crucial for organizing the gathering process. The majority of the vehicles used for the gathering operate on fossil fuels like gasoline, which releases carcinogens into the atmosphere. Since the engine drives a hydraulic pump that generates power to lift the container when it is being emptied, the exhaust emissions are not solely coming from the vehicles when they reach the container. As a result, it is crucial to describe the entire gathering process. On the one hand, we want to safeguard the environment by utilizing selective gathering, but on the other hand, there are gathering vehicles that emit carcinogenic exhaust gas. In order to reduce unneeded pollution from the gathering vehicle, we aim to identify the best solution in this paper for choosing the appropriate selective material collection method.