Academic literature on the topic 'Passenger mobility simulation framework'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Passenger mobility simulation framework.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Passenger mobility simulation framework"
1
Cho, Seung-Wan, Yeong-Hyun Lim, Seong-Hyeon Ju, and Kyung-Min Seo. "Analyzing New Operation Strategy of Demand-Responsive Transports Using Discrete-Event Simulation Framework." Systems 13, no. 4 (2025): 303. https://doi.org/10.3390/systems13040303.
Full textAbstract:
Demand-responsive transport (DRT) provides flexible ride-sharing by dynamically adjusting routes based on real-time user demand, making it suitable for complex urban mobility needs. This study proposes a modular simulation framework based on the DEVS (Discrete Event System Specification) formalism and introduces an “express service” strategy that enables direct trips without intermediate stops. The framework supports scenario-based analysis using key performance indicators (KPIs) and allows for flexible testing of operational strategies. Two experiments were conducted: the first validated the simulation model under varying demand and fleet conditions; and the second assessed the impact of the express service. Results showed that express passengers experienced significantly shorter waiting and riding times, while standard passenger service remained stable. The strategy also improved operational efficiency under constrained resources. This study contributes to a configurable simulation platform for evaluating differentiated DRT services and provides practical insights for adaptive service planning, especially in urban settings where tiered mobility solutions are increasingly needed.
2
Naeem, Nabih, Patrick Ratei, and Prajwal Shiva Prakasha. "Modelling and simulation of urban air mobility: an extendable approach." Journal of Physics: Conference Series 2526, no. 1 (2023): 012104. http://dx.doi.org/10.1088/1742-6596/2526/1/012104.
Full textAbstract:
Abstract This paper presents an extendable approach to the modelling and simulation of Urban Air Mobility (UAM), and dissemination criteria for system of systems simulation driven studies. UAM involves a multitude of complexities including the airspace, fleet, demand, and vertidrome management. Simulation is a key enabler for understanding these complexities and the interaction of the different stakeholders within the UAM paradigm. This work builds upon past research of the authors and presents a framework for simulation and modelling which includes the modelling of passenger demand, passenger mode choice, vehicle allocation for heterogenous fleets, route planning, deadheading, vertidrome scheduling, and flight scheduling with stop-overs. The approach presented in this work can be used to model both on-demand and scheduled operations, while the primary focus is placed on the former. Moreover, different methods can be implemented for the detailed modelling of the stakeholders, in addition to parametrically varying aspects such as the fleet size, number of vertidromes, and others. The aims of this paper are two, firstly to offer a framework for the modelling of UAM by breaking down its complexity systematically to simpler blocks, namely the stakeholders, the processes and interaction, through which the emergent behavior of the system of systems simulation may be more easily observed or understood. Secondly, it is to provide a clear method for dissemination of the modelling and simulation with the goal of establishing a common standard, demonstrated through the dissemination of the authors’ simulation to the reader.
3
Martí, Pasqual, Alejandro Ibáñez, Vicente Julian, Paulo Novais, and Jaume Jordán. "Bus Ridership Prediction and Scenario Analysis through ML and Multi-Agent Simulations." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 13 (December 31, 2024): e31866. https://doi.org/10.14201/adcaij.31866.
Full textAbstract:
This paper introduces an innovative approach to predicting bus ridership andanalysing transportation scenarios through a fusion of machine learning (ML) techniques and multi-agent simulations. Utilising a comprehensive dataset from an urban bus system, we employ ML models to accurately forecast passenger flows, factoring in diverse variables such as weather conditions. The novelty of our method lies in the application of these predictions to generate detailed simulation scenarios, which are meticulously executed to evaluate the efficacy of public transportation services. Our research uniquely demonstrates the synergy between ML predictions and agent-based simulations, offering a robust tool for optimising urban mobility. The results reveal critical insights into resource allocation, service efficiency, and potential improvements in public transport systems. This study significantly advances the field by providing a practical framework for transportation providers to optimise services and address long-term challenges in urban mobility
4
Asad, Syed Muhammad, Jawad Ahmad, Sajjad Hussain, Ahmed Zoha, Qammer Hussain Abbasi, and Muhammad Ali Imran. "Mobility Prediction-Based Optimisation and Encryption of Passenger Traffic-Flows Using Machine Learning." Sensors 20, no. 9 (2020): 2629. http://dx.doi.org/10.3390/s20092629.
Full textAbstract:
Information and Communication Technology (ICT) enabled optimisation of train’s passenger traffic flows is a key consideration of transportation under Smart City planning (SCP). Traditional mobility prediction based optimisation and encryption approaches are reactive in nature; however, Artificial Intelligence (AI) driven proactive solutions are required for near real-time optimisation. Leveraging the historical passenger data recorded via Radio Frequency Identification (RFID) sensors installed at the train stations, mobility prediction models can be developed to support and improve the railway operational performance vis-a-vis 5G and beyond. In this paper we have analysed the passenger traffic flows based on an Access, Egress and Interchange (AEI) framework to support train infrastructure against congestion, accidents, overloading carriages and maintenance. This paper predominantly focuses on developing passenger flow predictions using Machine Learning (ML) along with a novel encryption model that is capable of handling the heavy passenger traffic flow in real-time. We have compared and reported the performance of various ML driven flow prediction models using real-world passenger flow data obtained from London Underground and Overground (LUO). Extensive spatio-temporal simulations leveraging realistic mobility prediction models show that an AEI framework can achieve 91.17% prediction accuracy along with secure and light-weight encryption capabilities. Security parameters such as correlation coefficient (<0.01), entropy (>7.70), number of pixel change rate (>99%), unified average change intensity (>33), contrast (>10), homogeneity (<0.3) and energy (<0.01) prove the efficacy of the proposed encryption scheme.
5
LI, YANFEI, and ROBERT KOCHHAN. "POLICIES AND BUSINESS MODELS FOR THE ELECTRIC MOBILITY REVOLUTION: THE CASE STUDY ON SINGAPORE." Singapore Economic Review 62, no. 05 (2017): 1195–222. http://dx.doi.org/10.1142/s021759081550109x.
Full textAbstract:
A detailed total cost of ownership (TCO) model, with well-to-wheel carbon emissions assessment, is developed to analyze the economic competitiveness of battery electric vehicle (BEV) against conventional internal combustion engine (ICE) vehicles in Singapore. The model fully integrates the unique economic, institutional and social features of Singapore related to the ownership and usage of a passenger vehicle into consideration. Assuming current technologies and no change in the regulatory and policy framework, it is found that BEV is already economically competitive in certain niche markets of Singapore, such as small and midsize vehicles for car-sharing and corporate uses. In the near future, with technological progress, BEVs will become competitive in most parts of the Singapore passenger vehicle market, including small vehicles for household and small and midsize vehicles for car-sharing, corporate and taxi uses. However, certain supportive policies are called for, based on policy simulation results, to effectively accelerate the adoption of BEVs. Evidence also shows that supports should be given to the development of charging infrastructure at an early stage of BEV adoption.
6
Mahmood, Bawan, and Jalil Kianfar. "Driver Behavior Models for Heavy Vehicles and Passenger Cars at a Work Zone." Sustainability 11, no. 21 (2019): 6007. http://dx.doi.org/10.3390/su11216007.
Full textAbstract:
Traffic impact assessment is a key step in the process of work zone planning and scheduling for transportation agencies. Microscopic traffic simulation models enable transportation agencies to conduct detailed analyses of work zone mobility performance measures during the planning and scheduling process. However, traffic simulation results are valid only when the simulation model is calibrated to replicate driver behavior that is observed in the field. Few studies have provided guidance on the calibration of traffic simulation models at work zones and have offered driver behavior parameters that reproduce capacity values that are observed in the field. This paper contributes to existing knowledge of work zone simulation by providing separate driver behavior model parameters for heavy vehicles and passenger vehicles. The driver behavior parameters replicate the flow and speed at the work zone taper and at roadway segments upstream of the work zone. A particle swarm optimization framework is proposed to improve the efficiency of the calibration process. The desired time headway was found to be 2.31 seconds for heavy vehicles and 1.53 seconds for passenger cars. The longitudinal following threshold was found to be 17.64 meters for heavy vehicles and 11.70 meters for passenger cars. The proposed parameters were tested against field data that had not previously been used in the calibration of driver behavior models. The average absolute relative error for flow rate at the taper was 10% and the mean absolute error was 54 veh/h/ln. The GEH statistic for the validation dataset was 1.48.
7
Moffatt, Damian, and Hussein Dia. "Development and Evaluation of Simulation-Based Low Carbon Mobility Assessment Models." Future Transportation 1, no. 2 (2021): 134–53. http://dx.doi.org/10.3390/futuretransp1020009.
Full textAbstract:
The transport sector is a significant contributor to global emissions. In Australia, it is the third largest source of greenhouse gases and is responsible for around 17% of emissions with passenger cars accounting for around half of all transport emissions. Governments at all levels have identified a need for a reduction in transport carbon emissions to meet their net zero emissions targets. This research aims to help decision makers estimate the carbon footprint of transport networks within their jurisdictions and evaluate the impacts of emission-reduction interventions, through development of a simulation-based low carbon mobility assessment model. The model was developed based on a framework that integrates multiple mobility components including individual travel preferences, traffic simulation, and an assessment interface to create a seamless tool for the end-user. The feasibility of the assessment model was demonstrated in a case study for a local city council in Melbourne. In one of many scenarios reported in this paper, the model showed that maintaining current levels of emissions would require a 20% reduction in vehicle trips by 2030, and a much larger reduction would be required to reduce the levels of greenhouse gas emissions and achieve desired emissions reduction targets. The paper concludes with recommendations and future directions to extend the model’s capabilities and applications.
8
Pratama, Rakha Rahmadani, Catur Hilman Adritya Haryo Bhakti Baskoro, Joga Dharma Setiawan, et al. "Non-linear model predictive control with single-shooting method for autonomous personal mobility vehicle." Journal of Mechatronics, Electrical Power, and Vehicular Technology 15, no. 2 (2024): 186–96. https://doi.org/10.55981/j.mev.2024.1105.
Full textAbstract:
The advancement of autonomous vehicle technology has markedly evolved during the last decades. Reliable vehicle control is one of the essential technologies in this domain. This study aims to develop a proposed method for controlling an autonomous personal mobility vehicle called SEATER (Single-passenger Electric Autonomous Transporter), using Non-linear Model Predictive Control (NMPC). We propose a single-shooting technique to solve the optimal control problem (OCP) via non-linear programming (NLP). The NMPC is applied to a non-holonomic vehicle with a differential drive setup. The vehicle utilizes odometry data as feedback to help guide it to its target position while complying with constraints, such as vehicle constraints and avoiding obstacles. To evaluate the method's performance, we have developed the SEATER model and testing environment in the Gazebo Simulation and implemented the NMPC via the Robot Operating System (ROS) framework. Several simulations have been done in both obstacle-free and obstacle-filled areas. Based on the simulation results, the NMPC approach effectively directed the vehicle to the desired pose while satisfying the set constraints. In addition, the results from this study have also pointed out the reliability and real-time performance of NMPC with a single-shooting method for controlling SEATER in the various tested scenarios.
9
Ratei, Patrick, Nabih Naeem, and Prajwal Shiva Prakasha. "Development of an urban air mobility vehicle family concept by system of systems aircraft design and assessment." Journal of Physics: Conference Series 2526, no. 1 (2023): 012043. http://dx.doi.org/10.1088/1742-6596/2526/1/012043.
Full textAbstract:
Abstract The concept of urban air mobility promises a modern air taxi transport solution providing on-demand air mobility and hence time savings compared to congested terrestrial transportation in major cities and metropolitan areas. To make it a reality, vehicles, infrastructure, services, and operations must be developed simultaneously and cross-linked. These interconnections and interactions of the multitude of systems involved necessitate a system of systems approach, which is accounted for and implemented through agent-based simulations. Accordingly, the system of systems simulation framework is tuned to vehicle architecture as well as fleet design and assessment, thus allows to expand the aircraft design process by fleet operations and transport network perspectives. In this paper, the top level aircraft requirements of electric vertical take-off and landing vehicles are investigated by a fleet-centric approach. Herein, two disparate configurations, i.e. multirotor and tiltrotor, are modelled to depict representative wingless and winged configurations. The optimal design points are found and traded off by formulating different measures of effectiveness accounting for conversion of passenger requests, fleet energy consumption, and vehicle load factor. In summary, this study demonstrates the need for system of systems simulations to derive market-and operations-tailored vehicles and fleets. Furthermore, work on heterogeneous fleet compositions is required.
10
Schweiger, Karolin, and Franz Knabe. "Vertidrome Airside Level of Service: Performance-Based Evaluation of Vertiport Airside Operations." Drones 7, no. 11 (2023): 671. http://dx.doi.org/10.3390/drones7110671.
Full textAbstract:
This paper presents the Vertidrome Airside Level of Service (VALoS) framework, a novel performance metric designed to evaluate airside traffic flow operations at vertidromes in the context of Urban Air Mobility (UAM). As the UAM industry rapidly evolves, the need for a comprehensive evaluation framework becomes increasingly important. The VALoS framework provides a performance-based approach to evaluating vertidrome traffic flow performance, considering metrics like average passenger delay, air taxi in-flight delay, and vertidrome punctuality. Unlike existing Level of Service approaches, the VALoS framework unifies the requirements of various stakeholders, the passenger, the air taxi operator, and the vertidrome operator each with their own performance metric and target. It provides a multi-faceted approach covering airside air and ground traffic flows, arrivals and departures, and performance changes during strategic planning and tactical execution phases. The VALoS is evaluated at 15-min intervals while considering changing stakeholder performance targets and operational uncertainties. For the reference use case, the study demonstrates the significant impact of short-term disruptions, while stochastic deviations can be neglected. Higher traffic volumes due to changing demand/capacity ratios result in higher VALoS variability. The VALoS framework, together with a fast-time simulation, provides a versatile method for exploring future vertidrome traffic flows and supporting strategic vertidrome airside planning and integration. This integrated approach is essential for the evolving UAM vertidrome industry; aligning the interests of different stakeholders and promoting sustainable and efficient vertidrome planning and operation.
Dissertations / Theses on the topic "Passenger mobility simulation framework"
1
Persson, Daniel. "Passenger Flight Experience of Urban Air Mobility." Thesis, Uppsala universitet, Observationell astrofysik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-399699.
Full textAbstract:
The first part of a study of passenger flight experience of Urban Air Mobility was completed. This first part included the design of different Urban Air Mobility vehicle models, in which the passenger flight experience would be quantitatively measured. A first version of a simulator setup, in which the measurements were performed, was also developed. Three concept vehicle models, a single main rotor, a side-by-side rotor and a quadrotor, were designed in the conceptual design software NDARC. The vehicles were electrically propelled with battery technology based on future technology predictions and were designed for autonomous flight with one passenger. The emissions of the vehicles were analyzed and compared with an existing turboshaft helicopter. The interface between NDARC and the flight dynamics analysis and control system software FlightCODE, which was used to create control systems to the NDARC models, was developed to fit the vehicle configurations considered. The simulator setup was created with a VR headset, the flight simulation software X-Plane, an external autopilot software and stress sensors. Trial runs with the simulator setup were performed and gave important data for the continued development. Planned upgrades of the simulation station were presented and the continuation of the study was discussed.
2
Morgan, Jameson D. "GeoAware - A Simulation-based Framework for Synthetic Trajectory Generation from Mobility Patterns." Wright State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1607109295488049.
Full text
3
Montori, Federico. "Integration of a simulation platform for electrical mobility within the arrowhead interoperability framework." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8385/.
Full textAbstract:
This dissertation document deals with the development of a project, over a span of more than two years, carried out within the scope of the Arrowhead Framework and which bears my personal contribution in several sections. The final part of the project took place during a visiting period at the university of Luleå.
The Arrowhead Project is an European project, belonging to the ARTEMIS association, which aims to foster new technologies and unify the access to them into an unique framework. Such technologies include the Internet of Things phe- nomenon, Smart Houses, Electrical Mobility and renewable energy production.
An application is considered compliant with such framework when it respects the Service Oriented Architecture paradigm and it is able to interact with a set of defined components called Arrowhead Core Services.
My personal contribution to this project is given by the development of several user-friendly API, published in the project's main repository, and the integration of a legacy system within the Arrowhead Framework. The implementation of this legacy system was initiated by me in 2012 and, after many improvements carried out by several developers in UniBO, it has been again significantly modified this year in order to achieve compatibility.
The system consists of a simulation of an urban scenario where a certain amount of electrical vehicles are traveling along their specified routes. The vehicles are con-suming their battery and, thus, need to recharge at the charging stations.
The electrical vehicles need to use a reservation mechanism to be able to recharge and avoid waiting lines, due to the long recharge process.
The integration with the above mentioned framework consists in the publication of the services that the system provides to the end users through the instantiation of several Arrowhead Service Producers, together with a demo Arrowhead-
compliant client application able to consume such services.
4
Wen, Jian S. M. Massachusetts Institute of Technology. "Value of information in dispatching shared autonomous mobility-on-demand systems : a simulation framework." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/115797.
Full textAbstract:
Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 87-91).<br>The concept of shared mobility-on-demand (MoD) systems describes an innovative mode of transportation in which rides are tailored as per the immediate requests in a shared manner. Convenience of hailing, ease of transactions, and economic efficiency of crowd-sourcing the rides have made these services very attractive today. It is anticipated that autonomous vehicle (AV) technology may further improve the economics of such services by reducing the operational costs. The design and operation of such an shared autonomous mobility-on-demand (AMoD) system is therefore an important research direction that requires significant investigation. This thesis mainly addresses three issues revolving around the dispatching strategies of shared AMoD systems. First, it responds to the special dispatching need that is critical for effective AMoD operation. This includes a dynamic request-vehicle assignment heuristic and an optimal rebalancing policy. In addition, the dispatching strategies also reflect transit-oriented designs in two ways: (a) the objective function embodies the considerations of service availability and equity through the support of various hailing policies; and (b), the service facilitates first-mile connections to public transportation. Second, this thesis models the interaction between demand and supply through simulation. Using the level of service as interface, this mechanism enables feedback between operators and travelers to more closely represent the choices of both parties. A fixed-point approach is then applied to reach balance iteratively, estimating both the demand volume and the system performance at equilibrium. The results from the simulation support decision-making with regard to comprehensive system design problems such as fleet sizing, vehicle capacities and hailing policies. Third, the thesis evaluates the value of demand information through simulation experiments. To quantify the system performance gain that can be derived from the demand information, this thesis proposes to study two dimensions, level of information and value of information, and builds up the relationship between them. The numerical results help rationalize the efforts operators should spend on data collection, information inference and advanced dispatching algorithms. This thesis also implements an agent-based modeling platform, amod-abm, for simulating large-scale shared AMoD applications. Specifically, it models individual travelers and vehicles with demand-supply interaction and analyzes system performance through various metrics of indicators. This includes wait time, travel time, detour factor and service rate at the traveler's side, as well as vehicle distance traveled, load and profit at the operator's side. A case study area in London is selected to support the presentation of methodology. Results show that encouraging ride-sharing and allowing in-advance requests are powerful tools to enhance service efficiency and equity. Demand information from in-advance requests also enables the operator to plan service ahead of time, which leads to better performance and higher profit. The thesis concludes that the demand-supply interaction can be effective for defining and assessing the roles of AV technology in our future transportation systems. Combining efficient dispatching strategies and demand information management tools is also important for more affordable and efficient services.<br>by Jian Wen.<br>S.M. in Transportation
5
Wright, Landon Blaine. "Simulation Framework and Potential Field Relocation for Systems of Shared Autonomous Vehicles." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/8629.
Full textAbstract:
Shared autonomous vehicles present a significant opportunity to change the way that urban mobility is viewed by society. By providing a shared mobility platform at a cost lower than has previously been obtainable there are significant possibilites to enable a new era of mobility for consumers. This opportunity, however, comes with significant risks in the form of emissions and increased road usage. Understanding how the risks and benefits of shared autonomous vehicles can be balanced is crucial to be able to adequately prepare for their introduction. One of the primary ways to understand the interplay between the risks and benefits of autonomous vehicles is through the use of computer simulations. However, typically simulations must be defined for a specific area and provide results that are not applicable to a wide range of areas and situations. This work presents the development of a framework that can be used to simulate SAV behaviour at any given region of interest. This framework automates the process of generating a directed non-planar graph using data gathered from the OpenStreetMap project. It further provides tools to generate activity based trips that are statistically similar in time and density to provided data that reflects the trips in the simulation area. In the absence of this data, this work has identified the 2009 National Household Travel Survey as an acceptable surrogate for data specific to a region. The framework then provides methods by which the trip origins and destinations are mapped into the directed non-planar graph representation of the area of interest. This mapping is performed using real-world data including business locations and census data. Finally the framework is capable of simulating the activity of SAV in response to the defined trips given a variety of starting conditions and relocation strategies. In addition to the simulation framework this work presents a novel relocation strategy for unoccupied SAV based on the potential field methods that have been used in robotic navigation. This method provides a continously differentiable function that describes the unmet demand in the service area for a network of shared autonomous vehicles. The tunable parameters of the method are explored by using a design of experiments, and optimal values reflecting different scenarios are identified.The method is also evaluated in the context of both and over- and under-supply of vehicles for the given demand. As a result this method has been shown to provide substantial reductions in the wait time for a vehicle to service a trip with a minimal increase in the total distance that is traveled by all vehicles in the network.
6
Mourad, Abood. "The synchronization of shared mobility flows in urban environments." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLC041/document.
Full textAbstract:
Avec l’augmentation progressive de la population dans les grandes villes, comme Paris, nous prévoyons d’ici 2050 une augmentation de 50% du trafic routier. En considérant les embouteillages et la pollution que cette augmentation va générer, on voit clairement la nécessité de nouveaux système de mobilité plus durables, comme le covoiturage, ou plus généralement toute la mobilité partagée. En parlant de mobilité partagée, ce n’est pas seulement le partage de trajets de personnes qui ont le même itinéraire au même temps, elle inclut aussi les marchandises.Cette thèse aborde le défi de la synchronisation des flux de passagers et de marchandises dans les systèmes de mobilité urbaine et elle vis à développer des méthodes d’optimisation pour que cette synchronisation dans la mobilité partagée soit faisable. Plus précisément, elle aborde les questions de recherche suivantes:*Q1: Quelles sont les variantes des systèmes de mobilité partagée et comment les optimiser?*Q2: Comment synchroniser les déplacements de personnes et quels gains cette synchronisation peut-elle générer?*Q3: Comment combiner les flux de passagers et de fret et quels sont les avantages attendus?*Q4: Quels sont les effets de l'incertitude sur la planification et l'exploitation de systèmes de mobilité partagée?Dans un premier temps, nous étudions les différentes variantes des systèmes de mobilité partagée et nous les classifions en fonction de leurs modèles, caractéristiques, approches de résolution et contexte d'application. En se basant sur cette revue de littérature, nous identifions deux problèmes de mobilité partagés, que nous considérons en détails dans cette thèse et nous développons des méthodes d'optimisation pour les résoudre.Pour synchroniser les flux de passagers, nous étudions un modèle de covoiturage en utilisant les véhicules autonomes, personnels et partagés, et des points de rencontre où la synchronisation entre passagers peut avoir lieu. Pour cela, une méthode heuristique en deux phases est proposée et une étude de cas sur la ville de New York est présentée.Ensuite, nous développons un modèle d’optimisation qui combine les flux de passagers et de marchandises dans une région urbaine. Le but de ce modèle est d’utiliser les capacités disponibles sur une ligne de transport fixe pour transporter les passagers et des robots transportant des petits colis à leurs destinations finales en considérant que la demande de passagers est stochastique. Les résultats obtenus montrent que les solutions proposées par ces deux modèles peuvent conduire à une meilleure utilisation des systèmes de transport dans les régions urbaines<br>The rise of research into shared mobility systems reflects emerging challenges, such as rising urbanization rates, traffic congestion, oil prices and environmental concerns. The operations research community has turned towards more sharable and sustainable systems of transportation. Although shared mobility comes with many benefits, it has some challenges that are restricting its widespread adoption. More research is thus needed towards developing new shared mobility systems so that a better use of the available transportation assets can be obtained.This thesis aims at developing efficient models and optimization approaches for synchronizing people and freight flows in an urban environment. As such, the following research questions are addressed throughout the thesis:*Q1: What are the variants of shared mobility systems and how to optimize them?*Q2: How can people trips be synchronized and what gains can this synchronization yields?*Q3: How can people and freight flows be combined and what are the intended benefits?*Q4: What impacts uncertainty can have on planning and operating shared mobility systems?First, we review different variants of the shared mobility problem where either (i) travelers share their rides, or (ii) the transportation of passengers and freight is combined. We then classify these variants according to their models, solution approaches and application context and We provide a comprehensive overview of the recently published papers and case studies. Based on this review, we identify two shared mobility problems, which we study further in this thesis.Second, we study a ridesharing problem where individually-owned and on-demand autonomous vehicles (AVs) are used for transporting passengers and a set of meeting points is used for synchronizing their trips. We develop a two-phase method (a pre-processing algorithm and a matching optimization problem) for assessing the sharing potential of different AV ownership models, and we evaluate them on a case study for New York City.Then, we present a model that integrates freight deliveries to a scheduled line for people transportation where passengers demand, and thus the available capacity for transporting freight, is assumed to be stochastic. We model this problem as a two-stage stochastic problem and we provide a MIP formulation and a sample average approximation (SAA) method along with an Adaptive Large Neighborhood Search (ALNS) algorithm to solve it. We then analyze the proposed approach as well as the impacts of stochastic passengers demand on such integrated system on a computational study.Finally, we summarize the key findings, highlight the main challenges facing shared mobility systems, and suggest potential directions for future research
Books on the topic "Passenger mobility simulation framework"
1
Fernández, Pedro Trapero. The Application of GIS Technologies in the Roman Period. Bloomsbury Publishing Plc, 2025. http://dx.doi.org/10.5040/9781350433731.
Full textAbstract:
Using a selection of archaeological cases studies from the Roman period in the Mediterranean region, Pedro Trapero Fernández shows how GIS technologies can be employed in the creation of spatial models to reproduce historical realities.An increasing number of researchers use this digital humanities tool as a means to model both territory and landscape. This book compiles different spatial models under a unified methodology described in separated chapters, such as mobility and visibility models, and discusses their limitations and potential for implementation in archaeological contexts. The result is a detailed analysis of each method, which consequently results in an accessible manual for understanding GIS technologies. Designed for students and scholars with varying degrees of training in GIS, who intend to carry out spatial analysis and historical models, the approach of this book establishes a reference framework to work with GIS technologies in other historical periods. Trapero concludes by discussing the future of GIS and spatial analysis, and how it can be studied and used as a methodological approach in archaeological practice and research. GIS in history and archaeology encompasses various applications, ranging from the creation of thematic maps to the management of geo-referenced databases and the development of spatial models that replicate historical realities. While the potential of spatial models is significant for advancing research in multiple areas, there is currently a lack of comparative and unified methodologies in this field. A model, regardless of the scientific discipline, serves as a simplified representation of reality, enabling the understanding of underlying criteria and the simulation of different outcomes. Creating a historical model requires more than just technical proficiency in GIS tools; it necessitates an understanding of the mindset prevalent during the period under investigation. In this book, we have compiled a comprehensive collection of successful spatial models, discussing their limitations and potential for application in other domains. Each method is thoroughly analysed and critically assessed, presented in a way that allows fellow researchers to replicate the models. To facilitate this, we focus on the Roman period, illustrating with several specific examples within the same thought and culture. Additionally, we examine the future prospects of these applications and propose collaborative initiatives to enhance these tools further. Throughout the book, we include an indispensable visual component, encompassing figures, graphs, and tables that exemplify and simplify technical aspects. Furthermore, we provide a critical review of the latest literature, ensuring the content remains up-to-date and informed.
Book chapters on the topic "Passenger mobility simulation framework"
1
Gujar, Samruddhi, and Mohit Dev. "Operational Performance of Passenger Ferry Service." In Lecture Notes in Mobility. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85578-8_66.
Full textAbstract:
Abstract Passenger ferry boats of different capacities operate and are one of the most affordable modes of transportation. This research investigates the effectiveness of passenger ferry services within Mumbai Municipal Boundary, operating in its backwater, creek networks, and western and eastern coastlines. Passenger ferries have the potential to promote sustainable and resilient transportation in the region. The literature review shows an absence of evaluation mechanisms to assess the quality and performance provided for passenger ferries in Indian cities using the Level of Service (LOS) concept. The study aims to assess operational performance by proposing a step-by-step evaluation framework for ferry services based on the LOS. Both passengers and operators’ perspectives are considered while suggesting proposals. The outcome is in the form of a procedure that can be adopted for forming and calculating route-wise LOS and recommendations for operators to generate additional revenue. The insights gained from this research will be valuable for policymakers, academics, and stakeholders, enabling them to assess, improve, and allot investments for ferry services in their respective cities as per their unique requirements.
2
Gallo, Federico, Alice Consilvio, and Nicola Sacco. "Integrated Approach for Convoy Dispatching and Passenger Routing at Railway Stations with Variable Composition Trains." In Lecture Notes in Mobility. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85578-8_49.
Full textAbstract:
Abstract This paper addresses a railway scenario with variable composition trains, and focuses on the management and simulation of the passenger flows and trains at stations. In particular, it proposes a management system aimed at optimally routing the passengers from their entrance in the station to the correct platform segment according the train they have to board, and scheduling the train service in terms of convoy composition, capacity and destinations. The resulting system is then modelled as a discrete event system (DES) and simulated, to evaluate its performance on the basis of indicators like the queue length, the unsatisfied demand, the passenger travel time in the station, and the passenger density at the platform. The proposed station management system is then tested on a mixed real/synthetic numerical example aimed at proving the feasibility and functioning of the proposed approach.
3
Gonçalves, João S. V., João Jacob, Rosaldo J. F. Rossetti, António Coelho, and Rui Rodrigues. "An Integrated Framework for Mobile-Based ADAS Simulation." In Modeling Mobility with Open Data. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15024-6_10.
Full text
4
Wang, Hualan, Lang Yu, and Shaochen Qin. "Simulation and Optimization of Passenger Flow Line in Lanzhou West Railway Station." In Advanced Solutions of Transport Systems for Growing Mobility. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62316-0_5.
Full text
5
Lahti, Janne, Helena Rivas, Jyrki Huusko, and Ville Könönen. "Simulation and Implementation of the Autonomic Service Mobility Framework." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12808-0_6.
Full text
6
Tympakianaki, Athina, Mohammadmahdi Rahimiasl, Charis Chalkiadakis, et al. "Predicting Demand and Supply in a Real-Time Traffic Management Framework." In Lecture Notes in Mobility. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85578-8_45.
Full textAbstract:
Abstract Predicting the future supply and demand of a transport network are challenging and important problems in real-time traffic management systems that are essential to enhance the decision-making process for deploying adequate traffic strategies under different conditions (e.g., road works, accidents). In the context of the TANGENT H2020 project, simulation-based and data-driven methodologies are developed focusing on the real-time demand and supply prediction problems. This paper focuses on the development and integration of the demand and supply models as well as incident detection methods into traffic simulation environments for network-wide traffic predictions. The role of each component of the framework and their interoperability is explained in the paper, using as testbed the network of Athens, Greece.
7
Alho, André Romano, Takanori Sakai, Fang Zhao, et al. "Laboratories for Research on Freight Systems and Planning." In Urban Informatics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_12.
Full textAbstract:
AbstractAdvancements in information and communication technologies (ICT) and the advent of novel mobility solutions have brought about drastic changes in the urban mobility environment. Pervasive ICT devices acquire new sources of data that can inform detailed transportation simulation models, and are useful in analyzing new policies and technologies. In this context, we developed software laboratories that leverage the latest technological developments and enhance freight research. Future mobility sensing (FMS) is a data-collection platform that integrates tracking devices and mobile apps, a backend with machine-learning technologies and user interfaces to deliver highly accurate and detailed mobility data. The second platform, SimMobility, is an open-source, agent-based urban simulation platform which replicates urban passenger and goods movements in a fully disaggregated manner. The two platforms have been used jointly to advance the state of the art in behavioral modeling for passenger and goods movements. In this chapter, we review recent developments in freight-transportation data-collection techniques, including contributions to transportation modeling, and state-of-the-art transportation models. We then introduce FMS and SimMobility and demonstrate a coordinated application using three examples. Lastly, we highlight potential innovations and future challenges in these research domains.
8
Sliwa, Benjamin, and Christian Wietfeld. "LIMoSim: A Framework for Lightweight Simulation of Vehicular Mobility in Intelligent Transportation Systems." In Recent Advances in Network Simulation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12842-5_11.
Full text
9
Touloumidis, Dimos, Elpida Xenou, and Georgia Ayfantopoulou. "Empowering Cities: Unveiling the Innovative Urban Mobility Ecosystem to Support the Transition Through City-Led Innovations." In Lecture Notes in Mobility. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85578-8_5.
Full textAbstract:
Abstract Purpose: The primary objective of this paper is to develop a framework that will support municipal governments and policymakers to capture a city’s capacity and maturity for adopting and implementing innovative mobility solutions for both passenger and freight. Methods: This paper adopts a three-step which starts with the definition of the “city-led innovation” and “Innovation Readiness” for mobility planning based on literature and lessons learned from the European funded H2020 SPROUT project. Then, it identifies the elements and sub-elements of the urban mobility ecosystem through systematic literature review and validates them through workshops with SPROUT mobility experts. The third step focuses on assigning weights to these elements and sub-elements by applying an AHP to the opinion of specific mobility experts. Results: The main finding of this study is the definition of the Innovative Urban Mobility ecosystem which consists of six elements along with eleven sub-elements that capture the city’s readiness for innovation. The prioritization methodology highlighted that the most important element is the Innovative Governance & Growth which holds the importance at 40% followed by Innovative People & Stakeholders (20%) while the least important was Smart & Easily Accessible with 9.50%. A further investigation on sub-elements level revealed that the most important factors are Mobility Planning (11.66%), Public Investments (16.52%) and Cities Capacity (13.67%) while the least important sub-elements are Inter-departmental coordination (5.70%), Openness (4.61%) and Industry Diversity (6.32%) highlighting the important role of public authorities. Conclusion: In conclusion, this article suggests that by using the proposed framework, cities can better prepare the conditions to harness innovation by implementing city-led, instead of industry-led, initiatives in mobility. Furthermore, it proposes that this framework can serve as a foundation for creating a self-assessment tool that allows cities to evaluate their strengths and weaknesses in relation to elements within the ecosystem.
10
Schwartz, Henry, Anastasia Tsvetkova, Magnus Hellström, and Magnus Gustafsson. "Decarbonizing Maritime Corridors: How Carbon-Neutral Shipping Creates Environmental, Economic, and Social Impacts." In Lecture Notes in Mobility. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-89444-2_2.
Full textAbstract:
Abstract There is increasing pressure to reduce greenhouse gas (GHG) emissions in the transport sector, with a specific focus on maritime transportation. Green maritime corridors, originally introduced in the Clydebank Declaration, represent a bottom-up approach for potentially effective decarbonization of maritime transportation. The premise of the research presented in this paper is that such initiatives, involving numerous actors in a logistics value chain, can have a more significant impact than merely reducing GHG emissions from sea transportation. In this paper, we present an impact assessment framework for decarbonizing maritime corridors in the context of RoPax (passenger and vehicle) shipping. We have identified 17 impacts, including the impacts on negative externalities, socio-economic impacts, impacts on transportation, and enabling effects on other industries in terms of the green transition. The Turku–Stockholm (Finland–Sweden) RoPax shipping corridor serves as a case study, considering a scenario in which one shipping line operator transitions from fossil LNG to e-methane as the primary fuel for the two ships operating on the route, along with the installation of batteries for power balance during voyages and while in the harbour area.
Conference papers on the topic "Passenger mobility simulation framework"
1
Pradhan, Pratik, Jeffery Omorodion, Mohsen Rostami, Aditya Venkatesh, Jafer Kamoonpuri, and Joon Chung. "Digital Framework for Urban Air Mobility Simulation." In 2024 IEEE International Symposium on Emerging Metaverse (ISEMV). IEEE, 2024. https://doi.org/10.1109/isemv63338.2024.00023.
Full text
2
Dewantara, Satrya, Bilge Atasoy, Saiedeh Razavi, and Mahnam Saeednia. "Learning Assisted Simulation-Optimization Framework for Resilient Freight Transport Corridors." In 2024 IEEE International Conference on Smart Mobility (SM). IEEE, 2024. http://dx.doi.org/10.1109/sm63044.2024.10733377.
Full text
3
Hanson, Curt, Saravanakumaar Ramia, and Kyle Barnes. "Urban Air Mobility Passenger Discomfort Evaluations of Sudden Heave Motion in a Virtual Reality Motion-Base Simulator." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-27.
Full textAbstract:
Small, highly maneuverable Urban Air Mobility (UAM) air taxis might exhibit motions during hover and low-speed flight that are unfamiliar to many passengers, and for which there are no established guidelines to predict passenger comfort. Researchers performed a study in the Armstrong Virtual Reality Passenger Ride Quality Laboratory to identify relationships between sudden motion characteristics and UAM passenger comfort and acceptance. Twenty-three volunteer test subjects from the Armstrong workforce each completed a 15-minute experience as a passenger in a virtual air taxi simulation. Subjects evaluated a series of flight maneuvers with varying levels of sudden motion using a five-point rating scale and indicated which motion(s) they found uncomfortable. Researchers then administered a post-test questionnaire to relate the passengers’ ratings to their willingness to fly on a real air taxi with similar levels of motion. The study results relate peak heave acceleration and jerk to passenger acceptance.
4
Kruuse, Karin, Quazi Saimoon Islam, Hans Teras, and Mihkel Pajusalu. "Advancing Planetary Rover Mobility: Terramechanics Wheel-Terrain Modeling in a Real-Time Simulation Framework." In IAF Space Operations Symposium, Held at the 75th International Astronautical Congress (IAC 2024). International Astronautical Federation (IAF), 2024. https://doi.org/10.52202/078367-0059.
Full text
5
Roccotelli, Michele, Gaetano Volpe, Maria Pia Fanti, and Agostino Marcello Mangini. "A Co-Simulation Framework for Autonomous Mobility in Urban Mixed Traffic Context*." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711495.
Full text
6
Horton, Jeshurun, Jeffryes Chapman, and Thomas Tallerico. "Powertrain System Analysis for an Urban Air Mobility Tiltwing Concept Vehicle." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-73.
Full textAbstract:
In support of research and development for Urban Air Mobility (UAM) operations, the National Aeronautics and Space Administration (NASA) is developing a fleet of Vertical Takeoff and Landing (VTOL) concept vehicles. These vehicles aim to identify key areas for technological growth and provide reference data to the UAM community. A six-passenger Tiltwing concept recently added to the fleet offers new opportunities to explore the UAM design space through trade studies of the power and propulsion systems. In this paper, a turboelectric powertrain is designed and analyzed using the Numerical Propulsion System Simulation (NPSS) tool, the NPSS Power System Library, and a motor drivetrain optimization tool. Direct and geared motor drivetrains are designed and compared across a UAM design mission. Sensitivity of the Tiltwing maximum takeoff weight to motor drivetrain weights and efficiencies is estimated and used to inform optimal motor and gearbox selection. Results indicate that direct-drive and geared-drive configurations are comparable for this vehicle, with slight advantages to direct-drive when the radius of the drivetrain is unconstrained. When the drivetrain radius is constrained, a geared-drive system becomes more optimal.
7
Keller, Jeffrey, Abhinav Sharma, Jean-Pierre Theron, and Robert M. "UrbanAdvanced Air Mobility Interactional Aerodynamic Modeling for Flight Mechanics Applications." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1226.
Full textAbstract:
Flight mechanics modeling and real-time simulation of rotorcraft have many challenges including the aerodynamics and dynamics of the rotor system, rotor inflow, and wake-airframe interactions. Furthermore, interactional aerodynamic effects are difficult to characterize, in particular during early configuration down-selection. Rotorcraft configurations under consideration for advanced air mobility applications are trending toward designs with coaxial rotor systems and multiple distributed propellers / rotors in close-proximity with one another and the airframe. This proximity leads to strong coupling between the rotor inflow and lifting surfaces (e.g., tiltwing and lift+cruise urban air mobility concepts). This paper describes recent work toward the development of a general-purpose modeling framework for flight mechanics analysis and simulation of rotorcraft and aircraft configurations proposed for advanced air mobility applications. This modeling framework was developed for assessment of aircraft ride qualities during urban flight operations; however, the focus of this paper is on the modeling framework development and application. Model validation with experimental data is another focus, examining scaled model data and flight test results.
8
Matthews, Rhea, Andre Calderon Monroy, Abdel Bayoumi, Kelly Fox, Mostafa Ali, and Jacob Werling. "Enhancing Advanced Air Mobility through Digital Engineering and Predictive Analytics for Effective Maintenance Strategies." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-391.
Full textAbstract:
The operation of Urban Air Mobility Vehicles (UAMVs) presents significant technical and operational challenges, particularly in the areas of safety, training, and cost management. This paper explores how advanced simulation models and predictive algorithms can address these challenges. A digital transformation framework is developed and applied in an Urban Air Mobility (UAM) case study to illustrate the effectiveness of these tools. Through the development of simulation models, critical insights are provided on damage detection, impact analysis, and maintenance optimization. The application of predictive algorithms enables quick damage assessment, improving safety by facilitating timely maintenance and repair decisions. To help showcase the benefits of this research, a demonstration was designed and built that allows users to interact with the developed tools and get a better understanding through hands-on training.
9
Zahn, David, Sarah Eggum, and Andrew Guion. "eVTOL Vehicle-Agnostic Instrument Flight Procedures Test Plan." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-124.
Full textAbstract:
NASA Airspace Operations and Safety Program is researching the utility of electric vertical takeoff and land (eVTOL) advanced air mobility (AAM) instrument flight procedures. The result will be dynamic and tailored procedures that align to the following modus operandi: maximize safety, optimize efficiency, support passenger comfort and minimize acoustics. This is achieved through dynamic airspace procedure design, which is a modular approach to create an airspace construct that customizes procedures to vehicle design and configuration, operation, and environmental conditions. The test plan supports different eVTOL platforms and envisioned operations for flight test or simulation and may be leveraged by AAM aircraft manufacturers and operators for any given aircraft, location and operation. This white paper is a reduced subset of the flight test plan; the full publication can be found on the NASA Technical Research Server (NTRS), https://ntrs.nasa.gov/citations/20240002788.
10
Santhosh, S. "Insights on state of the art and perspectives of XR for human machine interfaces in advanced air mobility and urban air mobility." In Aeronautics and Astronautics. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902813-94.
Full textAbstract:
Abstract. With technological innovation and advancements, especially in autonomy, battery and digitization, the future of air transport and mobility is transiting towards a broader spectrum of Advanced Air Mobility (AAM) and Urban Air Mobility (UAM). UAM envisions safer, faster, and more sustainable air mobility for smarter cities and urban environments including passenger transport and goods delivery. Nevertheless, this concept is still considered extremely breakthrough and several technological and operational aspects are mostly undefined. In this context, a comprehensive approach to AAM/UAM may be to adapt cutting-edge technologies in developing sustainable framework and Human-Machine Interfaces (HMIs) in order to realize the challenges, benefits, and conditions of such transport system in advance for future safer, more reliable and globally approved operations. One of the technologies that can contribute to accelerate advancements through human centred simulating UAM processes and operations is XR (eXtended Reality). This paper presents the early steps of a multidisciplinary study performed under the framework of PNRR (Piano Nazionale di Ripresa e Resilienza) and MOST (Centro Nazionale Mobilità Sostenibile) project in analyzing the perspectives of XR based HMIs for UAM paradigm and potential AAM/UAM use case scenarios that can be simulated with XR in view of attaining efficient and effective future solutions. Furthermore, the work introduces the state-of-the-art overview on XR facilitated UAM applications and considers prospective potential use cases that can be developed through PNRR research study in demonstrating XR as an enabling technology in promising areas of the UAM framework.
Reports on the topic "Passenger mobility simulation framework"
1
Shen, Shiyu, Yuhui Zhai, and Yanfeng Ouyang. Planning and Dynamic Management of Autonomous Modular Mobility Services. Illinois Center for Transportation, 2024. https://doi.org/10.36501/0197-9191/24-029.
Full textAbstract:
As we enter the next era of autonomous driving, robo-vehicles (which serve as low-cost and fully compliant drivers) are replacing conventional chauffeured services in the mobility market. During just the last few years, companies like Waymo Inc. and Cruise Inc. have already offered fully driverless robo-taxi services to the general public in cities like Phoenix and San Francisco. The rapid evolution of autonomous vehicles is anticipated to reshape the shared mobility market very soon. This project aims to address the following open questions. At the operational level, how should modular units be allocated across multiple categories of customers (e.g., passenger and freight cabins), and how should they be matched in real time? How do we enhance system efficiency by dynamic relocation and swap of modular chassis? At the strategic or tactical level, how should the rolling stock resources (modular chassis, passenger and freight cabins) be planned, and where shall chassis swapping sites be located? How could any potential transaction cost for a chassis swap, such as the time required for a modular chassis to be assembled with a customized cabin, affect the optimal strategy and system performance? How can customer priorities (e.g., passenger vs. freight) affect system performance, and how can service providers manage demand by specific pricing scheme or discriminative customer service strategies? We conducted the following research tasks: (i) analytically derived systems of implicit nonlinear equations in the closed form, including a set of differential equations, to analyze the modular autonomous mobility system and to estimate the expected system performance in the steady state; (ii) conducted a series of agent-based simulation experiments to verify the accuracy of the proposed analytical formulas and to demonstrate the effectiveness of the proposed modular chassis services; and (iii) designed policy instruments to enhance transportation system performance.
2
Luo, Hao, Ricardo Chahine, Arianna Rambaram, Elizabeth Theresa Rosenzweig, Konstantina Gkritza, and Hua Cai. Assessing the Travel Demand and Mobility Impacts of Transformative Transportation Technologies in Indiana. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317374.
Full textAbstract:
The rapid development of transformative transportation technologies, such as bike-sharing, shared e-scooters, and ride-hailing systems, is reshaping the transportation landscape. These transformative transportation technologies have the potential to significantly change travel behavior and travel demand and affect transportation agencies’ planning, operations, and decision-making. The objective of this project is to develop a framework and models to quantify the potential travel demand and mobility impacts of transformative transportation technologies in Indiana cities. This project analyzed historical system usage data and conducted survey studies to evaluate the availability and use of transformative transportation technologies in select Indiana cities. The project also proposed a data-driven model to study the relationship between shared micro-mobility and the existing transit system and developed a simulation model to analyze the potential mode choice change under different future development scenarios. Additionally, based on a comprehensive literature review, a list of operations; environmental, health and safety; and accessibility and equity metrics were identified as the Key Performance Indicators to evaluate transformative transportation technologies. Furthermore, as this study was conducted in the midst of the COVID-19 pandemic, the impacts of the pandemic on both traditional and transformative transportation systems were also examined as documented in the literature and stated in our survey.
3
Walker, Jasmine, Yujie Li, Maria A. Chung Li, et al. Integrating Transformative Technologies in Indiana’s Transportation Operations. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317651.
Full textAbstract:
New and emerging transportation technologies, driven by automation, connectivity, and electrification, could potentially help address the transportation sector’s persistent and pervasive problems, including those associated with safety, mobility, and energy use. For this reason, the state of Indiana, uniquely positioned to serve interstate truck traffic, sought ways to identify and incorporate these new technologies on Indiana’s highways. This report addressed the challenges and opportunities regarding the integration of transformative technologies in Indiana’s truck operations, with a particular focus on truck platooning. This report started with a review of current literature about disruptive technologies in general and truck platooning specifically. This included published information on the impacts of platooning on transportation outcomes—energy use, mobility, safety, truck operators’ comfort, infrastructure condition/longevity, emissions, and other impacts. Regarding these impacts, this report presents existing simulation models for analyzing/evaluating truck platooning. Driver comfort, in terms of the platoon inter-truck headways, was investigated using a driving simulation study in the Center for Connected and Automated Center (CCAT) human factors laboratory at Purdue. This report also identified and discussed opportunities and challenges to truck platooning, and a process was developed to identify truck-platooning sections and a multi-criteria framework for ex poste or ex ante evaluation of platooning segments. Finally, the report discusses the future trends of freight transportation in Indiana (including challenges and opportunities) in truck platooning policy and development.