Letteratura scientifica selezionata sul tema "Autonomous mobility on-demand (AMoD)"
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Articoli di riviste sul tema "Autonomous mobility on-demand (AMoD)":
Iglesias, Ramon, Federico Rossi, Rick Zhang e Marco Pavone. "A BCMP network approach to modeling and controlling autonomous mobility-on-demand systems". International Journal of Robotics Research 38, n. 2-3 (28 giugno 2018): 357–74. http://dx.doi.org/10.1177/0278364918780335.
Dai, Jiajie, Qianyu Zhu, Nan Jiang e Wuyang Wang. "Rebalancing Autonomous Vehicles using Deep Reinforcement Learning". International Journal of Circuits, Systems and Signal Processing 16 (15 gennaio 2022): 646–52. http://dx.doi.org/10.46300/9106.2022.16.80.
Grahle, A., Y. W. Song, K. Brüske, B. Bender e D. Göhlich. "AUTONOMOUS SHUTTLES FOR URBAN MOBILITY ON DEMAND APPLICATIONS – ECOSYSTEM DEPENDENT REQUIREMENT ELICITATION". Proceedings of the Design Society: DESIGN Conference 1 (maggio 2020): 887–96. http://dx.doi.org/10.1017/dsd.2020.100.
Wang, Ning, e Jiahui Guo. "Modeling and Optimization of Multiaction Dynamic Dispatching Problem for Shared Autonomous Electric Vehicles". Journal of Advanced Transportation 2021 (15 novembre 2021): 1–19. http://dx.doi.org/10.1155/2021/1368286.
Nahmias-Biran, Bat-Hen, Gabriel Dadashev e Yedidya Levi. "Sustainable Automated Mobility-On-Demand Strategies in Dense Urban Areas: A Case Study of the Tel Aviv Metropolis in 2040". Sustainability 15, n. 22 (17 novembre 2023): 16037. http://dx.doi.org/10.3390/su152216037.
Nahmias-Biran, Bat-hen, Jimi B. Oke, Nishant Kumar, Kakali Basak, Andrea Araldo, Ravi Seshadri, Arun Akkinepally, Carlos Lima Azevedo e Moshe Ben-Akiva. "From Traditional to Automated Mobility on Demand: A Comprehensive Framework for Modeling On-Demand Services in SimMobility". Transportation Research Record: Journal of the Transportation Research Board 2673, n. 12 (25 giugno 2019): 15–29. http://dx.doi.org/10.1177/0361198119853553.
Salazar, Mauro, Nicolas Lanzetti, Federico Rossi, Maximilian Schiffer e Marco Pavone. "Intermodal Autonomous Mobility-on-Demand". IEEE Transactions on Intelligent Transportation Systems 21, n. 9 (settembre 2020): 3946–60. http://dx.doi.org/10.1109/tits.2019.2950720.
Wang, Senlei, Gonçalo Homem de Almeida Correia e Hai Xiang Lin. "Assessing the Potential of the Strategic Formation of Urban Platoons for Shared Automated Vehicle Fleets". Journal of Advanced Transportation 2022 (21 luglio 2022): 1–20. http://dx.doi.org/10.1155/2022/1005979.
Azevedo, Carlos Lima, Katarzyna Marczuk, Sebastián Raveau, Harold Soh, Muhammad Adnan, Kakali Basak, Harish Loganathan et al. "Microsimulation of Demand and Supply of Autonomous Mobility On Demand". Transportation Research Record: Journal of the Transportation Research Board 2564, n. 1 (gennaio 2016): 21–30. http://dx.doi.org/10.3141/2564-03.
Wen, Jian, Neema Nassir e Jinhua Zhao. "Value of demand information in autonomous mobility-on-demand systems". Transportation Research Part A: Policy and Practice 121 (marzo 2019): 346–59. http://dx.doi.org/10.1016/j.tra.2019.01.018.
Tesi sul tema "Autonomous mobility on-demand (AMoD)":
Cortina, Mélanie. "Fostering synergy between public transportation and autonomous mobility on demand : the prospects of regulation". Electronic Thesis or Diss., Vaulx-en-Velin, École nationale des travaux publics de l’État, 2023. http://www.theses.fr/2023ENTP0010.
With its ability to overcome common limitations of shared mobility, such as supply-demand imbalances, stochasticity in supply, and unaffordable rides, Autonomous Mobility on Demand (AMoD) could help face today's environmental challenges. But to prevent a too-high induced demand and increase the vehicle kilometers traveled, integrating AMoD and Public Transportation (PT) is required. However, the cooperation of AMoD and PT is not ensured, as shown by Uber's example. The main issue addressed in this thesis is how to regulate AMoD to foster cooperation with PT and achieve the benefits of intermodal AMoD. This question is tackled in two study cases: a transportation corridor and a large urban area. The work has three main objectives. First, it accounts for the benefits of a multimodal system based on the cooperation between PT and AMoD regarding efficiency, sustainability, and equity. Second, it aims at understanding the circumstances of cooperation/competition between PT and AMoD. The idea is to identify under which conditions AMoD cooperates or competes with PT and describe the associated mobility patterns. Third, we propose optimized means to realize the benefits of intermodal AMoD. It consists in optimizing the regulation strategies chosen for both case studies. In the corridor, we optimize the joint PT design and AMoD service disaggregation into fleets operating on geofenced coverage zones for the corridor. In the large city, we explore several pricing schemes affecting both travelers and autonomous vehicles
Miller, Justin (Justin Lee). "Demand estimation and fleet management for autonomous mobility on demand systems". Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113541.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 131-137).
Mobility On Demand (MOD) systems are creating a paradigm shift in transportation, where mobility is provided not through personally owned vehicles but rather through a fleet of shared vehicles. To maintain a high customer quality of service (QoS), MOD systems need to manage the distribution of vehicles under spatial and temporal fluctuations in customer demand. A challenge for MOD systems is developing and informing a customer demand model. A new proactive demand model is presented which correlates real-time traffic data to predict customer demand on short timescales. Traditional traffic data collection approaches use pervasive fixed sensors which are costly for system-wide coverage. To address this, new frameworks are presented for measuring real-time traffic data using MOD vehicles as mobile sensors. The frameworks are evaluated using hardware and simulation implementations of a real-world MOD system developed for MIT campus. First, a mobile sensing framework is introduced that uses camera and Lidar sensors onboard MOD shuttles to observe system-wide traffic. Through a principled approach for decoupling dependencies between observation data and vehicle motion, the framework provides traffic rate estimates comparable to those of costly fixed sensors. Second, an active sensing framework is introduced which quantifies demand uncertainty with a Bayesian model and routes mobile sensors to reduce parameter uncertainty. The active sensing framework reduces error in demand estimates over both short and long timescales when compared to baseline approaches. Given estimates of customer demand, the challenge for MOD systems is maintaining high customer QoS through fleet management. New automated fleet management planners are introduced for improving customer QoS in ride hailing, ride requesting, and ridesharing MOD operating frameworks. The planners are evaluated using data-driven simulation of the MIT MOD system. For ride hailing, to address the challenge of missed customers, a chance-constrained planner is introduced for positioning vehicles at likely customer hailing locations. The chance-constrained planner provides a significant improvement in the number of served hailing customers over a baseline exploration approach. For ride requesting, to address the challenge of high customer wait times, a predictive positioning planner is introduced to position vehicles at key locations in the MOD system based on customer demand. The predictive positioning planner provides a reduction in service times for requesting customers compared to a baseline waiting approach. For ridesharing, incorrect assumptions on customer preference for transit delays can lead to poor realized customer QoS. A ridesharing planner is introduced for assigning customers to vehicles based on a trained ratings-based QoS model. The ridesharing planner provides robust performance over a range of unknown customer preferences compared to approaches with assumed customer preferences.
by Justin Lee Miller.
Ph. D.
Chen, Yu Xin (Yu Xin Leo). "Simulation-based design of integrated public transit and shared autonomous mobility-on-demand systems". Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120641.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 89-95).
The autonomous vehicle (AV) is poised to be one of the most disruptive technologies in the transportation industry. The advent of three major trends in transportation: automation, on-demand mobility and ride-sharing, are set to revolutionize the way we travel. The forthcoming adoption and commercialization of AVs are expected to have extensive impacts on our road networks, congestion, safety, land use, public transportation (PT) and more. Rapid advances in AV technology are convincing many that AV services will play a significant role in future transportation systems. The advancement of AVs presents both opportunities and threats to transportation. It has the potential to significantly impact traffic congestion, traffic accidents, parking and VMT (vehicle miles traveled), especially for people that are not able to drive such as children and elderly people. Motivated by the potential of autonomous vehicles, authorities around the world are preparing for this revolution in transport and deems this an important research direction that requires significant investigation. This thesis tackled and contributed to three main research questions related to the impact of autonomous vehicles on transportation systems. First, this thesis proposes a simulation-based approach to the design and evaluation of integrated autonomous vehicle and public transportation systems. We highlight the transit-orientation by respecting the social-purpose considerations of transit agencies (such as maintaining service availability and ensuring equity) and identifying the synergistic opportunities between AV and PT. Specifically, we identified that AV has a strong potential to serve first-mile connections to the PT stations and provide efficient and affordable shared mobility in low-density suburban areas that are typically inefficient to serve by conventional fixed-route PT services. The design decisions reflect the interest of multiple stakeholders in the system. Second, the interaction between travelers (demand) and operators (supply) is modeled using a system of equations that is solved as a fixed-point problem through an iterative procedure. In this, we developed demand and supply as two sub-problems. The demand will be predicted using a nested logit model to estimate the volume for different modes based on modal attributes. The supply will use a simulation platform capable of incorporating critical operational decisions on factors including fleet sizes, vehicle capacities, sharing policies, fare schemes and hailing strategies such as in-advance and on-demand requests. Using feedback between demand and supply, we enable interactions between the decisions of the service operator and those of the travelers, in order to model the choices of both parties. Finally, this thesis systematically optimizes service design variables to determine the best outcome in accordance to AV+PT stakeholder goals. Optimization objective functions can be formulated to reflect the different objectives of different stakeholders. In this paper, we specifically propose and develop a simulation-based service design method where we quantify various benefits and costs to reflect the objectives of key AV+PT stakeholders. We simulate the service with different sets of system settings and identify the highest performing set. We employ a case study of regional service contracting to showcase the ability of this method to inform AV+PT service design. We tested our approach with a case study area in a major European city on an agent-based simulation platform, amod-abm. Agent-based simulation has the advantage of capturing individual (agent) behaviors and the interactions of the various individual agents in a realistic synthetic environment where the intent is to re-create a complex phenomenon of mobility on demand service delivered by AV. Although this thesis will focus on a major European city, the general framework and methodologies proposed here can be widely applicable. The thesis concludes that the demand-supply interaction can be effective for designing and assessing the role of AV technology in our mobility systems. Moreover, simulation-based optimization can be an effective method for transit agencies to make decisions that support their overall AV related transport strategy as well as operational planning.
by Yu Xin Chen.
S.M. in Transportation
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.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 87-91).
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.
by Jian Wen.
S.M. in Transportation
Carreyre, Félix. "Are robotaxis worth it ? On-demand Autonomous Vehicle Mobility Services in heterogeneous Territories : A Cost Benefit Analysis". Electronic Thesis or Diss., Marne-la-vallée, ENPC, 2023. http://www.theses.fr/2023ENPC0043.
The 2010’ has seen a spectacular interest for autonomous vehicles (AV). The new market opened by the promises of improved safety and comfort pushed car makers and newcomers, such as tech companies, to invest in the development of autonomous vehicles. The scientific literature has also taken interest in the topic and produced analysis to investigate the expected impact of this emerging mode of transportation. These works have mostly focused on the operational ability of on-demand autonomous vehicles services to replace services which are actually operated by conventional car, including the private use of the car. This thesis aims to provide an economic evaluation of on-demand autonomous vehicles services in different territories to complete the existing scientific literature.This thesis aims to answer the following research questions: What are the performances of AV-based services by considering the perspectives of the main stakeholders (i.e., users, operators and public authorities)? Are there more relevant AV-based services than others? Which is the most suitable operating model of AV-based services to deploy in each type of territory (i.e., urban, peri-urban and rural)?First, a bibliometric analysis and a meta-analysis is carried out to understand the focus of the literature and its main results. Then, a cost-benefit analysis framework suited to the evaluation of autonomous vehicles services is developed. The methodology is applied to three case studies, in Berlin (urban setting), the Communauté d’agglomération de Paris-Saclay (periurban setting) and Dourdan (a rural territory south of Paris). Each time, the MATSim agent-based mobility model is used to forecast the expected use of the AV services considered, and provide the necessary inputs for the cost-benefit analysis.The contributions of this thesis are both methodological and empirical. The methodological contribution lies in the development of a CBA framework and a parametrical set of reference values for autonomous vehicle services. Regarding the empirical contribution, the meta-analysis shows that on-demand AV services would increase travelled distances in most cases, but could allow to cut down the required fleet size by half. Our case studies corroborate and extend these results with a more comprehensive evaluation. In the Berlin case study, introducing AVs would lead to an increase in congestion, leading to a decrease in the consumer surplus and a negative net present value. This suggests that automation in urban settings should firstly focus on heavier modes of transportation, such as bus lines or rail lines. The Paris Saclay case study led to more promising results thanks to an intermodal (train – AV) scenario which allowed to significantly increase the average occupancy per vehicle and increase accessibility for many users, at the cost of lower patronage for the competing bus lines. On-demand AVs could replace low occupancy bus lines depending on territories. Considering the potentially substantial infrastructure costs, AVs could be implemented under a Stop-Based routing to limit the network length to equip. In the Dourdan rural case study, on-demand AVs suffer from low occupancy, especially when the service does not offer ridesharing (with a significant share of deadheading). This low economic performance of AV services in rural territories suggests that these should only be introduced for specific purposes – such as providing a mobility solution for specific populations – or in combination with other mobility policies. This case study highlights the importance of infrastructure costs, which are even more prevalent for low demand densities.This work contributes to better understanding the potential impacts of on-demand AVs. It provides first recommendations on how to introduce AVs depending on the territorial context in order to mitigate the undesirable externalities and limit the possibly large financial costs, especially regarding the infrastructure
Zhou, Fan. "The impacts of car-sharing and shared autonomous vehicles on urban mobility: Towards a sustainable future". Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/121497/1/Fan_Zhou_Thesis.pdf.
ARCORACI, ANDREA. "Sistemi Interattivi a supporto dei Veicoli Autonomi. User Experience all'interno del concept di mobilità Pop.Up Next". Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2915201.
Houshmand, Arian. "Eco-routing and scheduling of Connected and Autonomous Vehicles". Thesis, 2020. https://hdl.handle.net/2144/41035.
Capitoli di libri sul tema "Autonomous mobility on-demand (AMoD)":
Pavone, Marco. "Autonomous Mobility-on-Demand Systems for Future Urban Mobility". In Autonomous Driving, 387–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48847-8_19.
Beiker, Sven. "Implementation of an Automated Mobility-on-Demand System". In Autonomous Driving, 277–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48847-8_14.
Pavone, Marco. "Autonomous Mobility-on-Demand Systems for Future Urban Mobility". In Autonomes Fahren, 399–416. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45854-9_19.
Javanshour, Farid, Hussein Dia e Gordon Duncan. "Exploring System Characteristics of Autonomous Mobility On-Demand Systems Under Varying Travel Demand Patterns". In Intelligent Transport Systems for Everyone’s Mobility, 299–315. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7434-0_17.
Shen, Wen, e Cristina Lopes. "Managing Autonomous Mobility on Demand Systems for Better Passenger Experience". In PRIMA 2015: Principles and Practice of Multi-Agent Systems, 20–35. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25524-8_2.
Yamin, Nuzhat, Syrine Belakaria, Sameh Sorour e Mohamed Hefeida. "A Hierarchical Management Framework for Autonomous Electric Mobility-on-Demand Services". In Connected and Autonomous Vehicles in Smart Cities, 19–66. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, LLC, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429329401-2.
Kim, Ho-Yeon, Hyeon-Mun Jeong e Han-Lim Choi. "Consensus-Based Auction Approaches for Autonomous Urban Air Mobility on Demand Systems". In Lecture Notes in Mechanical Engineering, 377–85. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4803-8_37.
Di Maria, Andrea, Andrea Araldo, Giovanni Morana e Antonella Di Stefano. "AMoDSim: An Efficient and Modular Simulation Framework for Autonomous Mobility on Demand". In Lecture Notes in Computer Science, 165–78. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05081-8_12.
Tussyadiah, Iis P., Florian J. Zach e Jianxi Wang. "Attitudes Toward Autonomous on Demand Mobility System: The Case of Self-Driving Taxi". In Information and Communication Technologies in Tourism 2017, 755–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51168-9_54.
Iglesias, Ramon, Federico Rossi, Rick Zhang e Marco Pavone. "A BCMP Network Approach to Modeling and Controlling Autonomous Mobility-on-Demand Systems". In Springer Proceedings in Advanced Robotics, 831–47. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43089-4_53.
Atti di convegni sul tema "Autonomous mobility on-demand (AMoD)":
T. Alotaibi, Ebtehal, e Michael Herrmann. "Max-Policy Sharing for Multi-Agent Reinforcement Learning in Autonomous Mobility on Demand". In 12th International Conference on Digital Image Processing and Vision. Academy & Industry Research Collaboration, 2023. http://dx.doi.org/10.5121/csit.2023.131333.
Ang, Marcelo H. "Achieving mobility on demand using autonomous vehicles". In 2015 6th International Conference on Power Electronics Systems and Applications (PESA) - Advancement in Electric Transportation - Automotive, Vessel & Aircraft. IEEE, 2015. http://dx.doi.org/10.1109/pesa.2015.7398961.
Andersen, Hans, You Hong Eng, Wei Kang Leong, Chen Zhang, Hai Xun Kong, Scott Pendleton, Marcelo H. Ang e Daniela Rus. "Autonomous personal mobility scooter for multi-class mobility-on-demand service". In 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2016. http://dx.doi.org/10.1109/itsc.2016.7795795.
Dandl, Florian, Klaus Bogenberger e Hani S. Mahmassani. "Autonomous Mobility-on-Demand Real-Time Gaming Framework". In 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, 2019. http://dx.doi.org/10.1109/mtits.2019.8883286.
Distler, Verena, Carine Lallemand e Thierry Bellet. "Acceptability and Acceptance of Autonomous Mobility on Demand". In CHI '18: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3173574.3174186.
Zhang, Rick, Federico Rossi e Marco Pavone. "Model predictive control of autonomous mobility-on-demand systems". In 2016 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2016. http://dx.doi.org/10.1109/icra.2016.7487272.
Tsao, Matthew, Ramon Iglesias e Marco Pavone. "Stochastic Model Predictive Control for Autonomous Mobility on Demand". In 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2018. http://dx.doi.org/10.1109/itsc.2018.8569459.
Turan, Berkay, Nathaniel Tucker e Mahnoosh Alizadeh. "Smart Charging Benefits in Autonomous Mobility on Demand Systems". In 2019 IEEE Intelligent Transportation Systems Conference - ITSC. IEEE, 2019. http://dx.doi.org/10.1109/itsc.2019.8917278.
Pendleton, Scott Drew, Hans Andersen, Xiaotong Shen, You Hong Eng, Chen Zhang, Hai Xun Kong, Wei Kang Leong, Marcelo H. Ang e Daniela Rus. "Multi-class autonomous vehicles for mobility-on-demand service". In 2016 IEEE/SICE International Symposium on System Integration (SII). IEEE, 2016. http://dx.doi.org/10.1109/sii.2016.7843999.
Sun, Yimeng, Yuan Huang e Zhaohao Ding. "Revenue Uncertainty Analysis for Autonomous Mobility-on-Demand System". In 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). IEEE, 2022. http://dx.doi.org/10.1109/icpsasia55496.2022.9949865.
Rapporti di organizzazioni sul tema "Autonomous mobility on-demand (AMoD)":
Alexander, Serena, Asha Weinstein Agrawal e Benjamin Y. Clark. Local Climate Action Planning as a Tool to Harness the Greenhouse Gas Emissions Mitigation and Equity Potential of Autonomous Vehicles and On-Demand Mobility. Mineta Transportation Institute, gennaio 2021. http://dx.doi.org/10.31979/mti.2020.1818.
Alexander, Serena, Asha Weinstein Agrawal e Benjamin Y. Clark. Local Climate Action Planning as a Tool to Harness the Greenhouse Gas Emissions Mitigation and Equity Potential of Autonomous Vehicles and On-Demand Mobility. Mineta Transportation Institute, gennaio 2021. http://dx.doi.org/10.31979/mti.2020.1818.
Doo, Johnny. Unsettled Issues Concerning eVTOL for Rapid-response, On-demand Firefighting. SAE International, agosto 2021. http://dx.doi.org/10.4271/epr2021017.
Doo, Johnny. The Use of eVTOL Aircraft for First Responder, Police, and Medical Transport Applications. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, settembre 2023. http://dx.doi.org/10.4271/epr2023020.