Traveling Solutions Research Articles

A Diachronic Agent-Based Framework to Model MaaS Programs

In recent years, mobility as a service (MaaS) has been thought as one of the opportunities for shifting towards shared travel solutions with respect to private transport modes, particularly owned cars. Although many MaaS aspects have been explored in the literature, there are still issues, such as platform implementations, travel solution generation, and the user’s role for making an effective system, that require more research. This paper extends and improves a previous study carried out by the authors by providing more details and experiments. The paper proposes a diachronic network model for representing travel services available in a given MaaS platform by using an agent-based approach to simulate the interactions between travel operators and travelers. Particularly, the diachronic network model allows the consideration of both the spatial and temporal features of the available transport services, while the agent-based framework allows the representation of how shared services might be used and which effects, in terms of modal split, could be expected. The final aim is to provide insights for setting the architecture of an agent-based MaaS platform where transport operators would share their data for providing seamless travel opportunities to travelers. The results obtained for a simulated test case are promising. Particularly, there are interesting findings concerning the traffic congestion boundary values that would move users towards shared travel solutions.

A finite geometry, inertia assisted coarsening-to-complexity transition in homogeneous frictional systems

The emergence of statistical complexity in frictional systems (where nonlinearity and dissipation are confined to an interface), manifested in broad distributions of various observables, is not yet understood. We study this problem in velocity-driven, homogeneous (no quenched disorder) unstable frictional systems of height H. The latter are described at the continuum scale within a realistic rate-and-state friction interfacial constitutive framework, where elasto-frictional instabilities emerge from rate-weakening friction. For large H, such frictional systems were recently shown to undergo continuous coarsening until settling into a spatially periodic traveling solution. We show that when the system’s height-to-length ratio becomes small — characteristic of various engineering and geophysical systems —, coarsening is less effective and the periodic solution is dynamically avoided. Instead, and consistently with previous reports, the system settles into a stochastic, statistically stationary state. The latter features slip bursts, whose slip rate is larger than the driving velocity, which are non-trivially distributed. The slip bursts are classified into two types: predominantly non-propagating, accompanied by small total slip and propagating, accompanied by large total slip. The statistical distributions emerge from dynamically self-generated heterogeneity, where both the non-equilibrium history of the interface and wave reflections from finite boundaries, mediated by material inertia, play central roles. Specifically, the dynamics and statistics of large bursts reveal a timescale ∼H/cs, where cs is the shear wave-speed. We discuss the robustness of our findings against variations of the frictional parameters, most notably affecting the magnitude of frictional rate-weakening, as well as against different interfacial state evolution laws. Finally, we demonstrate a reverse transition in which statistical complexity disappears in favor of the spatially periodic traveling solution. Overall, our results elucidate how relatively simple physical ingredients can give rise to the emergence of slip complexity.

Usage factors influencing e-scooter energy consumption: An empirical investigation

Shared e-scooters are considered a sustainable urban travel solution, yet their environmental impact is notable, primarily due to a short lifespan and the use of Li-ion batteries. The objective of this paper is to explore the possible factors with an influence on e-scooter energy consumption. These influential factors include trip and rider attributes, built environment characteristics, road geometry, surface materials, light and meteorological conditions. This study empirically investigates factors influencing e-scooter battery energy consumption, utilizing real usage data from GPS-equipped free-floating e-scooters in four European cities at the individual trip level. GPS positions allowed for the specification of local road characteristics and ambient conditions. For this purpose Shuttle Radar Topography Mission, Open Street Maps and the Meteostat application were used. Energy consumption was explained with the use of linear regression models as a function of those parameters, while controlling user experience and battery usage intensity. An extensive dataset covering over 150,000 trips in Bordeaux, Hamburg, Malaga, and Paris and two months of observations was used to estimate the models. Results indicate that, while travel distance is the most influential factor, other usage aspects play a role. Cold weather, rain, wind, as well as stone-paved streets increase energy consumption. In addition there seems to be a battery age threshold beyond which energy consumption rises.

Globe glider

Globe glider Tours and Travels aims to revolutionize the travel industry by offering a comprehensive platform that integrates seamless booking experiences, personalized trip planning, and cutting-edge travel recommendations. With an emphasis on leveraging advanced AI algorithms and machine learning techniques, Globe glider seeks to redefine the way travelers discover, plan, and embark on their journeys. Our platform will provide users with a holistic travel solution, from browsing destinations to booking accommodations, transportation, and activities, all tailored to their preferences and interests. Globe glider’s mission is the commitment to enhancing the traveler's experience through innovative technology and curated content. By harnessing vast datasets and employing sophisticated algorithms, our platform will deliver personalized recommendations for destinations, activities, and experiences based on each user's unique profile and past travel behavior. Additionally, Globeglider will offer real-time assistance and support throughout the travel journey, ensuring a seamless and stress-free experience from start to finish. In an ever-evolving travel landscape, Globe glider stands poised to empower travelers with the tools and resources needed to make informed decisions and create unforgettable experiences. With a focus on user-centric design, technological innovation, and unparalleled customer service, Globeglider aspires to become the go-to platform for travelers worldwide, facilitating seamless exploration, discovery, and adventure across the globe. Globeglider sets itself apart by prioritizing sustainability and responsible tourism practices. In an era where environmental conservation and ethical travel are paramount concerns, our platform will actively promote eco-friendly travel options, support local communities, and advocate for the preservation of cultural heritage sites. Through partnerships with eco-conscious suppliers and community-based tourism initiatives, we aspire to minimize the carbon footprint of travel while maximizing positive socio-economic impacts on host destinations. At the heart of GlobeGlider is a commitment to fostering a sense of exploration and connection among travelers. The application incorporates a user-centric approach, allowing individuals to customize their journeys based on preferences, interests, and travel goals. GlobeGlider not only streamlines the logistics of travel but also enhances the overall experience by offering curated suggestions, insider tips, and interactive maps. By combining convenience with a touch of adventure, GlobeGlider aims to empower users to embark on journeys that are not just destinations but transformative moments in their lives.

Dynamic behavior of explicit elliptic and quasi periodic-wave solutions to the generalized [formula omitted]-dimensional Kundu–Mukherjee–Naskar equation

This paper introduces novel explicit traveling solutions to the generalized (2+1)-dimensional Kundu–Mukherjee–Naskar equation, a model relevant in optical fiber pulses, fluid dynamics, medical imaging, and ocean rogue waves. We propose rational form functions that incorporate both sine and cosine variables or sinh and cosh variables as potential solutions to the model. Subsequently, we utilize 3D diagrams to visually illustrate the characteristics of the identified propagating solutions, which exhibit elliptic-periodic, convex-periodic, cusp-soliton, and quasi-periodic patterns. Furthermore, a graphical analysis is conducted to explore the impact of the model’s parameters; nonlinearity and dispersion. Additionally, we introduce a comparative analysis to assess the superiority of the proposed approach over other existing methods such as Kudryashov-expansion, sine-function, and tanh(coth)-expansion methods. We anticipate that the insights gained from this analysis will prove valuable for understanding and studying other nonlinear models.

Factors Influencing Health and Environmental Intentions to Adopt Electric Vehicles from the Perspective of Business School Students

The objective of this work is to analyse the different element that impact the health and likelihood of business student drivers to purchase and use electric vehicles. A sum of 245 valid responses were obtained through two rounds of data collection. This sample size is considered sufficient and adequately representative. The data obtained from the study were stored in a secure and well-organized Microsoft Excel spreadsheet (.xlsx) using the SmartPLS 4 software. The importance of sustainable travel solutions is emphasised, as well as the positive correlation between environmental concerns and the willingness to embrace electric vehicles. The study highlights the significance of students' reward expectations and peer pressure in influencing their decision-making processes. The study's findings are intended to give useful insights for lawmakers. academics, and industry heads, empower them to expedite the transition towards a transport system that is both environmentally friendly and sustainable.

Micromobility as a Feeder for Railway Passenger Transport

The railway passenger transport is in many cases a less available mode of transport for the inhabitants of cities or villages due to the location of railway stops or stations. Passengers have to travel a distance of the so-called first and last mile to reach them. For this reason, many travellers will prefer the simplest door-to-door travel solution via private car. One option to make railway transport more available is micromobility, which can replace private car journeys for its flexibility and also can act as a feeder for railway passenger transport. In addition, micromobility, with its near-emission-free operation, can reduce the carbon footprint of general transportation and daily commuting to the work or school.

Unified Travel Solutions: Bridging Outdoor Route Planning with Intelligent Indoor Navigation

Indoor navigation, an innovative service built on indoor localisation, is a game-changer for travellers. This paper introduces a unique multimodal, dynamic indoor navigation service for indoor spaces. The novelty of this service lies in its seamless integration with outdoor routers, paving the way for a comprehensive door-to-door trip planner. The service's indoor multimodality is a key focus, considering accessibility options profiling and incorporating limited vehicular paths (e.g., internal buses in airports). The service's indoor dynamism is another standout feature involving real-time monitoring of events within the navigation path. The integration with outdoor routers is a significant achievement, primarily through the establishment of common interconnection points (shared points where indoor and outdoor navigation systems can exchange data) and a common data format structure (a standardised way of representing and exchanging navigation data). The proposed navigation service was put to the test in three real deployments at Berlin Tegel (TXL), Berlin Schönefeld (SXF), and Palma International (PMI) airports. Users travelling between these cities experienced the system's rapid detection of mechanical problems (e.g., travellators or elevators out of order) and incidents (e.g., temporarily non-navigable areas). The service's integration with other travel assistants and services, such as evaluating waiting times at check-in counters and security checkpoints, provided more accurate estimations of indoor navigation travel time and helped avoid agglomeration. These successful real-world validations underscore the service's effectiveness and reliability. The findings indicate that this innovative service significantly improves the travel experience by enhancing the planning and scheduling of movements from origin to destination. The validation showed an increase in travel efficiency, reduced wait times, and better accessibility options for travellers, underscoring the practical benefits of the proposed door-to-door navigation system.

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.

제주도 잠재관광자의 ‘탐라 자율주행차’ 이용의도 결정요인

This study seeks to identify the factors influencing the intention to use Tamra autonomous vehicles among potential Jeju Island tourists. Specifically, we examined motivated consumer innovativeness, perceived safety, and environmental concern as determinants of the intention to use autonomous vehicles. Understanding tourists' intentions to use autonomous vehicles is crucial in the tourism industry, as it is a sustainable transportation method and enhances the tourism experience through effective technology implementation. However, the determinants shaping tourists' attitudes to use autonomous vehicles remain under-researched. To address this research gap, data was collected between May 22 and 31, 2023 from potential tourists planning to visit Jeju Island, with their trips scheduled within December 2023. Data was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results revealed that the functional, hedonic, and social factors of motivated consumer innovativeness, perceived safety, and environmental concern significantly and positively affect attitudes toward autonomous vehicles, intention to use, and willingness to pay. This study contributes to the tourism field by shedding light on the determinants that influence the intention to use autonomous vehicles, which are a crucial aspect of the emerging mobility form in future tourism. Leveraging the potential of autonomous vehicles to provide safe, environmentally conscious, and technologically immersive travel solutions, the study seeks to empower tourism stakeholders in developing cutting-edge transportation services aligned with the evolving demands and expectations of modern travelers.

Standing and traveling waves in a model of periodically modulated one-dimensional waveguide arrays.

In the present work we study coherent structures in a one-dimensional discrete nonlinear Schrödinger lattice in which the coupling between waveguides is periodically modulated. Numerical experiments with single-site initial conditions show that, depending on the power, the system exhibits two fundamentally different behaviors. At low power, initial conditions with intensity concentrated in a single site give rise to transport, with the energy moving unidirectionally along the lattice, whereas high-power initial conditions yield stationary solutions. We explain these two behaviors, as well as the nature of the transition between the two regimes, by analyzing a simpler model where the couplings between waveguides are given by step functions. For the original model, we numerically construct both stationary and moving coherent structures, which are solutions reproducing themselves exactly after an integer multiple of the coupling period. For the stationary solutions, which are true periodic orbits, we use Floquet analysis to determine the parameter regime for which they are spectrally stable. Typically, the traveling solutions are characterized by having small-amplitude oscillatory tails, although we identify a set of parameters for which these tails disappear. These parameters turn out to be independent of the lattice size, and our simulations suggest that for these parameters, numerically exact traveling solutions are stable.

New traveling solutions, phase portrait and chaotic pattern for the generalized (2+1)-dimensional nonlinear conformable fractional stochastic Schrödinger equations forced by multiplicative Brownian motion

The paper mainly studies the traveling wave solutions, phase portrait and chaotic pattern of the generalized fractional stochastic Schrödinger equations forced by multiplicative Brownian motion. By using the polynomial complete discrimination method, the hyperbolic functions, rational functions and Jacobi elliptic function solutions are obtained. Moreover, the physics properties of the obtained solutions are shown through three-dimensional, two-dimensional and contour graphs. In order to help better analyze dynamic behavior, phase diagrams, chaos behavior and sensitivity are plotted by using Maple software.

The effect of intelligent tour guide system based on attraction positioning and recommendation to improve the experience of tourists visiting scenic spots

With the advancement of technology and economic development, human living standards have been substantially improved. The demand for tourism has also increased. Smart tourism uses information technology to integrate tourism resources. Tourists are provided with the right travel solutions for their needs. To further enhance the tourist experience, a smart tour guide system based on attraction positioning and recommendation is proposed. The RankSVM+time algorithm and K-means clustering algorithm are used to achieve attraction recommendation. The tourist flow path planning method of scenic spots is combined with D*algorithm to realize dynamic programming of tourist routes. A smart tour guide system based on tourist demand analysis is established to achieve data interaction and attraction positioning. The tour guide system is built based on analyzing the needs of tourists, realizing the functions of data interaction and attraction location. Tour guide services are provided in the form of voice or image. The experimental data shows that the F-value of RankSVM+time algorithm reaches 0.75. The recommendation accuracy is higher than that of RankSVM+Markov algorithm. The shortest running time is 81 s, which is faster than other methods. The intelligent tour guide system also dynamically adjusts the route visit scheme when dynamic changes occur in the attractions. The results show that the intelligent tour guide system based on attraction location and recommendation is highly accurate, fast and adaptable, which can enhance the tourist experience of visitors.

Autonomous travel decision-making: An early glimpse into ChatGPT and generative AI

Generative AI technologies, including large language models (LLMs), have the potential to bring significant advancements to the tourism and hospitality industry through an array of ingenious features. ChatGPT, as a type of generative AI, is a state-of-the-art LLM that is bundled with extensive capabilities. This commentary provides an early snapshot of ChatGPT's ability to enhance the tourist decision-making process in the pre-trip, en-route, and post-trip stages. Particularly, ChatGPT greatly differentiates itself from the traditional travel decision-making process by putting the tourist in the driver's seat to actively probe for highly relevant information through a question-and-answer mode. In this research note, we present different scenarios with cases demonstrating how ChatGPT can improve tourists' experience in these three travel stages, with trip planning efficiency, customized recommendations, 24/7 personal assistant, AI-mediated communication fluency, autonomous guided tours, enriched sharing experience, and AI-induced prolonged satisfaction. In summary, these value-added autonomous services provide tourists with travel solutions that are highly cost-effective, offering customized information that allows them to travel with ease.

Study of travellers' preferences towards travel offer categories and incentives in the journey planning context.

Nowadays, efforts to encourage changes in travel behaviour towards eco-friendly and active modes of transport are intensifying. A promising solution is to increase the use of sustainable public transport modes. Currently, a significant challenge related to this solution is the implementation of journey planners that will inform travellers about available travel solutions and facilitate decision-making by using personalisation techniques. This paper provides some valuable hints to journey planner developers on how to define and prioritise the travel offer categories and incentives to meet the travellers' expectations. The analysed data were obtained from a survey conducted in several European countries as part of the H2020 RIDE2RAIL project. The results confirm that travellers prefer to minimise travel time and stay on time. Also, incentives such as price discounts or class upgrades may play a crucial role in influencing the choices among travel solutions. By applying the regression analysis, it was found that preferences of travel offer categories and incentives are correlated with some demographic or travel-related factors. The results also show that subsets of significant factors strongly differ for particular travel offer categories and incentives, what underlines the importance of personalised recommendations in journey planners.

Traveling solutions for a multi-anticipative car-following traffic model

In this paper, we consider a steady state multi-anticipative traffic model and we provide necessarily and sufficient conditions for the existence of traveling solutions. In our work, the word “traveling” means that the distance between two consecutive vehicles travels continuously between two different states. As application to our result, we show that taking a strictly concave optimal velocity, we can construct a traveling solution such that the distance between two vehicles decreases. The existence, uniqueness and the study of the asymptotic behavior of such solutions is done at the level of the Hamilton-Jacobi equation.

On the analyticity of the Dirichlet–Neumann operator and Stokes waves

We prove an analyticity result for the Dirichlet–Neumann operator under space periodic boundary conditions in any dimension in an unbounded domain with infinite depth. We derive an analytic bifurcation result of analytic Stokes waves—i.e., space periodic traveling solutions—of the water waves equations in deep water.

Travel demand management policies: A case study of Singapore and transferability potentials for Hanoi

This research study investigates the travel demand management (TDM) strategies and solutions and associated policies through a case study of Singapore to gain knowledge and experiences, and to evaluate the potentials for policy transfer in TDM from Singapore to Hanoi, the Capital of Vietnam. The research follows a qualitative approach that critically analyzes policies from international perspectives for lesson-drawing. The ideas generated in the literature review are reinforced by the case study of Singapore that examines relevant issues to acquire insights into policy transfer initiatives in TDM. The research identifies considerable differences between Singapore and Hanoi with respect to the development objectives, social and political settings and the governance structure of the city in general, and in transport sector in particular. The results show that there are critical political, institutional, physical and social constraints on policy transfer from Singapore to Hanoi. Given the stated critical constraints, it could be premature to conduct transfer of TDM policies from Singapore to Hanoi for the time being, but the findings from the case study have significant policy implications to Hanoi, and lesson-drawing is highly valuable and attainable. An initial screening was conducted to evaluate the applicability of policies used in Singapore as a starting point to develop a comprehensive TDM framework for Hanoi. The findings of the case study in critical contextual constraints for policy transfer should be useful in developing a roadmap for the transfer of TDM policies to a growing city like Hanoi.

On the regularity and symmetry of periodic traveling solutions to weakly dispersive equations with cubic nonlinearity

We consider the a priori regularity and symmetry of periodic traveling wave solutions to a class of weakly dispersive equations with cubic nonlinearity. We prove that any continuous periodic traveling wave solution of small amplitude is symmetric if it satisfies the reflection criterion proposed recently by Bruell and Pei. Moreover, we confirm that continuous periodic traveling waves with singular crests or troughs, which correspond to large‐amplitude waves, are also symmetric if some cancellation structure appears near the singular points or if the wave profile has only a single singular point per period. Included in the results as particular cases are periodic traveling waves with peak, cusp, or stump type singular structures. The argument and results also apply to dispersive equations with more general nonlinearity which is non‐smooth.

Dynamical instability of 3D stationary and traveling planar dark solitons

Here we revisit the topic of stationary and propagating solitonic excitations in self-repulsive three-dimensional (3D) Bose–Einstein condensates by quantitatively comparing theoretical analysis and associated numerical computations with our experimental results. Motivated by numerous experimental efforts, including our own herein, we use fully 3D numerical simulations to explore the existence, stability, and evolution dynamics of planar dark solitons. This also allows us to examine their instability-induced decay products including solitonic vortices and vortex rings. In the trapped case and with no adjustable parameters, our numerical findings are in correspondence with experimentally observed coherent structures. Without a longitudinal trap, we identify numerically exact traveling solutions and quantify how their transverse destabilization threshold changes as a function of the solitary wave speed.