Emerging Rideshare Activities: A Report Back to the Small Payload Rideshare Community
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rideshare↗
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Exploring Ridesharing in Passenger Urban Air Mobility: A Comparative Analysis
There is growing interest in urban air mobility (UAM) as an alternative for passenger and cargo transport around metropolitan areas in a multimodal transportation system that leverages small, electric aircraft. Ridesharing has been proposed as a means of making UAM passenger trips more affordable and environmentally friendly. We present a UAM ridesharing model integrated into an existing computational framework for analyzing daily work commute trips within a metropolitan area. We leverage this model to estimate the potential demand for ridesharing-enabled UAM trips within six metropolitan areas across the United States: Chicago, IL; Cleveland, OH; Dallas, TX; Denver, CO; New York City, NY; and Orlando, FL. We compare results for each metropolitan area with and without ridesharing. Results indicate that ridesharing enables at least an order of magnitude more UAM-preferring passengers than without ridesharing, though specifics vary across metropolitan areas and network sizes. Enabling ridesharing in UAM also considerably lowers the mean and mode value of time for passengers that select the UAM mode, indicating that ridesharing can help make UAM more economically accessible to a larger set of the population. An important caveat is that the UAM ridesharing model does not account for operational constraints, such as aerodrome capacity and aircraft availability, and relies on a perfect knowledge of passenger movements and mode preferences. This leads to high UAM ridesharing volumes that are unlikely to reflect real-world UAM operations and thus serves as an upper bound estimate.
advanced air mobility↗
Exploring Ridesharing in Passenger Urban Air Mobility: A Comparative Analysis
There is growing interest in urban air mobility (UAM) as an alternative for passenger and cargo transport around metropolitan areas in a multimodal transportation system that leverages small, electric aircraft. Ridesharing has been proposed as a means of making UAM passenger trips more affordable and environmentally friendly. We present a UAM ridesharing model integrated into an existing computational framework for analyzing daily work commute trips within a metropolitan area. We leverage this model to estimate the potential demand for ridesharing-enabled UAM trips within six metropolitan areas across the United States: Chicago, IL; Cleveland, OH; Dallas, TX; Denver, CO; New York City, NY; and Orlando, FL. We compare results for each metropolitan area with and without ridesharing. Results indicate that ridesharing enables at least an order of magnitude more UAM-preferring passengers than without ridesharing, though specifics vary across metropolitan areas and network sizes. Enabling ridesharing in UAM also considerably lowers the mean and mode value of time for passengers that select the UAM mode, indicating that ridesharing can help make UAM more economically accessible to a larger set of the population. An important caveat is that the UAM ridesharing model does not account for operational constraints, such as aerodrome capacity and aircraft availability, and relies on a perfect knowledge of passenger movements and mode preferences. This leads to high UAM ridesharing volumes that are unlikely to reflect real-world UAM operations and thus serves as an upper bound estimate.
advanced air mobility↗
ELaNa - Educational Launch of Nanosatellite Providing Routine RideShare Opportunities
Since the creation of the NASA CubeSat Launch Initiative (NCSLI), the need for CubeSat rideshares has dramatically increased. After only three releases of the initiative, a total of 66 CubeSats now await launch opportunities. So, how is this challenge being resolved? NASA's Launch Services Program (LSP) has studied how to integrate PPODs on Athena, Atlas V, and Delta IV launch vehicles and has been instrumental in developing several carrier systems to support CubeSats as rideshares on NASA missions. In support of the first two ELaNa missions the Poly-Picosatellite Orbital Deployer (P-POD) was adapted for use on a Taurus XL (ELaNa I) and a Delta n (ELaNa III). Four P-PODs, which contained a total eight CubeSats, were used on these first ELaNa missions. Next up is ELaNa VI, which will launch on an Atlas V in August 2012. The four ELaNa VI CubeSats, in three P-PODs, are awaiting launch, having been integrated in the NPSCuLite. To increase rideshare capabilities, the Launch Services Program (LSP) is working to integrate P-PODs on Falcon 9 missions. The proposed Falcon 9 manifest will provide greater opportunities for the CubeSat community. For years, the standard CubeSat size was 1 U to 3U. As the desire to include more science in each cube grows, so does the standard CubeSat size. No longer is a 1 U, 1.5U, 2U or 3U CubeSat the only option available; the new CubeSat standard will include 6U and possibly even 12U. With each increase in CubeSat size, the CubeSat community is pushing the capability of the current P-POD design. Not only is the carrier system affected, but integration to the Launch Vehicle is also a concern. The development of a system to accommodate not only the 3U P-POD but also carriers for larger CubeSats is ongoing. LSP considers payloads in the lkg to 180 kg range rideshare or small/secondary payloads. As new and emerging small payloads are developed, rideshare opportunities and carrier systems need to be identified and secured. The development of a rideshare carrier system is not always cost effective. Sometimes a launch vehicle with an excellent performance record appears to be a great rideshare candidate however, after completing a feasibility study, LSP may determine that the cost of the rideshare carrier system is too great and, due to budget constraints, the development cannot go forward. With the current budget environment, one cost effective way to secure rideshare opportunities is to look for synergy with other government organizations that share the same interest.
Skrobot, Garrett Lee↗
Passenger Aggregation Network with Very Efficient Listing (PANVEL) Ridesharing Model for Urban Air Mobility
This paper introduces a ridesharing model useful for examining the role of ridesharing in advancing Urban Air Mobility (UAM) operations. Although the success of UAM will likely require a host of new technologies in aircraft design, airspace management, autonomy, and more, operational innovations like ridesharing may also be key, especially to lower operating costs and attract a broader market. The ridesharing algorithm introduced, termed the Passenger Aggregation Network with Very Efficient Listing (PANVEL) model, estimates trip numbers and passenger occupancy aboard particular aircraft within a UAM network in a metropolitan area. This algorithm is applied within a transportation computational framework to determine the impact of ridesharing on mode choice, passenger travel patterns, and transportation costs. The algorithm aggregates passengers traveling between identical origin-destination pairs, factoring in individual-specific metrics, such as value of time and alternative mode options, to generate high load factors on UAM aircraft. The computational framework simulates passenger mode-choice selections using an effective-cost approach to determine the number of ridesharing UAM-preferred trips, and results with ridesharing are representative of a rough upper bound on UAM ridership potential for a given metro area. A case study in the Cleveland metro area is presented to demonstrate the algorithm and assess ridesharing potential.
advanced air mobility↗
Passenger Aggregation Network with Very Efficient Listing (PANVEL) Ridesharing Model for Urban Air Mobility
This presentation introduces a ridesharing model useful for examining the role of ridesharing in advancing Urban Air Mobility (UAM) operations. Although the success of UAM will likely require a host of new technologies in aircraft design, airspace management, autonomy, and more, operational innovations like ridesharing may also be key, especially to lower operating costs and attract a broader market. The ridesharing algorithm introduced, termed the Passenger Aggregation Network with Very Efficient Listing (PANVEL) model, estimates trip numbers and passenger occupancy aboard particular aircraft within a UAM network in a metropolitan area. This algorithm is applied within a transportation computational framework to determine the impact of ridesharing on mode choice, passenger travel patterns, and transportation costs. The algorithm aggregates passengers traveling between identical origin-destination pairs, factoring in individual-specific metrics, such as value of time and alternative mode options, to generate high load factors on UAM aircraft. The computational framework simulates passenger mode-choice selections using an effective-cost approach to determine the number of ridesharing UAM-preferred trips, and results with ridesharing are representative of a rough upper bound on UAM ridership potential for a given metro area. A case study in the Cleveland metro area is presented to demonstrate the algorithm and assess ridesharing potential.
advanced air mobility↗
A Systems Approach to Lower Cost Missions: Following the Rideshare Paradigm
Small-satellite rideshare capabilities and opportunities for low-cost access to space have been evolving over the past 10 years. Small space launch vehicle technology is rapidly being developed and demonstrated, including the Minotaur series and the Space X Falcon, among others, along with the lower cost launch facilities at Alaska's Kodiak Launch Complex, NASA's Wallops Flight Facility, and the Reagan Test Site in the Pacific. Demonstrated capabilities for the launch of multiple payloads have increased (and continue to increase) significantly. This will allow more efficient and cost-effective use of the various launch opportunities, including utilizing the excess capacity of the emerging Evolved Expendable Launch Vehicle (EELV)-based missions. The definition of standardized interfaces and processes, along with various user guides and payload implementation plans, has been developed and continues to be refined. Top-level agency policies for the support of low-cost access to space for small experimental payloads, such as the DoD policy structure on auxiliary payloads, have been defined and provide the basis for the continued refinement and implementation of these evolving technologies. Most importantly, the coordination and cooperative interfaces between the various stakeholders continues to evolve. The degree of this coordination and technical interchange is demonstrated by the wide stakeholder participation at the recent 2008 Small Payload Rideshare Workshop, held at NASA's Wallops Flight Facility. This annual workshop has been the major platform for coordination and technical interchange within the rideshare community and with the various sponsoring agencies. These developments have provided the foundation for a robust low-cost small payload rideshare capability. However, the continued evolution, sustainment, and utilization of these capabilities will require continued stakeholder recognition, support, and nourishing. Ongoing, coordinated effort, partnering, and support between stakeholders is essential to acquire the improved organizational processes and efficiencies required to meet the needs of the growing small payload community for low-cost access to space. Further, a mix of capabilities developed within the space community for Operationally Responsive Space, an international committee investigating space systems cross-compatibility, and an industry-based organization seeking small satellite "standardization" all work toward a new paradigm: sharing or leveraging resources amongst multiple users. The challenge: where are those users, and what is the best way to leverage them? What is leveraged-mass, power, cost-sharing? And how does one sort through these options? What policies may prevent the use of some options? Who are the "other users" that might share or leverage capabilities? This paper presents a systematic look at both the users and the launch options, and suggests a way forward.
access to space↗
Low-Thrust Transfer to Interplanetary Trajectories from Lunar Trajectories with Rideshare
Accessing interplanetary space is challenging when using low thrust systems. Injecting spacecraft onto interplanetary trajectories is difficult with small launch vehicles, but it is possible to instead transfer to an interplanetary trajectory from a lunar flyby. Such cases are useful, for example, in rideshares between lunar and interplanetary missions. This work examines the problem of rideshare for small satellites onto lunar flyby trajectories, with transfers to an interplanetary trajectory. Low thrust interplanetary trajectories are examined starting from a rideshare mission on a lunar trajectory using delivery systems based on a modified Rocket Lab USA Electron vehicle and Photon stage.
Darcey R Graham↗
Enabling Multiple Small Satellite Near-Earth Asteroid Flyby Missions Using Small Solid Rocket Kick Stages with Rideshare Opportunities
The large number of Near-Earth Asteroids (NEA’s) provide almost daily launch opportunities to send small rideshare spacecraft to explore our nearest neighbors. Most asteroid missions require large spacecraft with a dedicated launch service. The large delta-V required for an interplanetary trajectory would typically preclude a NEA flyby rideshare unless it was going to the same target body as the primary mission. In this paper, a low-cost, compact, high energy kick stage with 3-axissteeringis proposed that would enable this mission type. This kick stage is compatible with an ESPA ring so that multiple NEA missions can be deployed as rideshares on a single launch.
William W Benson↗
Global Coverage from Ad-Hoc Constellations in Rideshare Orbits
A promising area of small satellite development is in providing higher temporal resolution than larger satellites. Traditional constellations have required specific orbits and dedicated launch vehicles. In this paper we discuss an alternative architecture in which the individual elements of the constellation are launched as rideshare opportunities. We compare the coverage of such an ad-hoc constellation with more traditional constellations. Coverage analysis is based on actual historical data from rideshare opportunities. Our analysis includes ground coverage and temporal revisits for Polar, Tropics, Temperate, and Global regions, comparing ad-hoc and Walker constellation.
small satellite development↗
NASA Wallops Overview of Rideshare Mission Integration Capability
Highlighting Wallops capabilities to support the Agency's new rideshare initiative. The presentation covers Wallops' capabilities experience with previous programs of similar nature and highlights examples of recent projects that have ideally positioned Wallops to play a critical role in implementation of the NASA rideshare initiative.
Wilcox, David A.↗
Rideshare Strategies for Small Mars Missions
Frequent low-cost access to Mars can be enabled by taking advantage of the increasing number of rideshare-compatible launches. The cost to manifest a small spacecraft as a secondary can be a small fraction of the cost of a dedicated launch. However, not all rideshare opportunities are equally suitable for a mission to Mars. Much depends on the delivery orbit, mass available, launch date, and propulsion strategy. This paper outlines various mission starting points along with corresponding methods to deliver payloads to Mars from each option. These starting points include low-Earth Orbit (LEO), geosynchronous transfer orbit (GTO), Lunar transfer orbit (LTO), and Earth escape.
Stamenkovic, Vlada↗
A Rideshare Tensegrity Rover Concept to Explore Titan’s Lands and Oceans
The Tension Adjustable Network for Deploying Entry Membrane (TANDEM) concept is a phase II NASA Innovative Advanced Concepts (NIAC) project. One of the goals for this project was to extend the application of tensegrity-based rovers to a rideshare concept for a Titan mission. This report provides preliminary details of the TANDEM concept for Titan. System analyses of the entry vehicle were performed and compared to data from the Huygens mission to Titan. The entry aeroshell was based on Huygens and Stardust aeroshells. Modeling, simulation and design of the tensegrity deployment were performed using a nonlinear optimization form-finding algorithm. Lastly, a neuroevolution-based machine learning control strategy was applied, which produced efficient rolling locomotion gaits.
tensegrity↗
Proceedings for the 1st Annual NRO-OSL/GSFC-ATS Rideshare Conference
This document contains the proceeding of the first Annual NRO-OSL/GSFC-ATS Rideshare Conference. The viewgraphs from the 27 presentations are included. The presentations were about the various programs to give access to space for scientific experiments. Several programs are designed to give access to space for free or nominal cost for educational objectives. Other programs are designed to give access for commercial purposes. Included in many of the presentations are the individual program's requirements.
Cutlip, William↗
Proceedings of the First Annual NRO-OSL/GSFC-ATS Rideshare Conference
This document contains the proceedings of the First Annual NRO-OSL/GSFC-ATS Rideshare Conference. The conference was held April 16-16, 1999, at the Litton/TASC Facility, Dulles, Virginia, and was co-chaired by William Cutlip, Goddard Space Flight Center Access to Space Group, and Jim Liller, National Reconnaissance Office, Office of Space Launch.
Cutlip, William↗
The Development of Small-Payload Rideshare Capabilities: A 2000-2008 Summary
This paper summarizes the development from 200 to the present of rideshare capabilities by various Government agencies and Organizations. This development will allow acceptable, low cost access to space for small satellites and payloads. The paper reviews the needs for such capabilities and provides an overview of the development and status of the enabling technologies, hardware, etc. required to achieve the desired capability. It reviews the development and status of each principal element necessary in developing an acceptable, low cost, access to space capability for small satellites and payloads.
secondary payloads↗
Efforts to Increase Rideshare Initiatives: Current Technical Challenges and Initiatives Underway
This PowerPoint presentation will discuss efforts to increase rideshare initiatives: current technical challenges and initiative underway.
Caffrey, Bob↗
NASA Access 2 Space Workshop: Summary Report: Increased Science Return through Rideshare
This report summarizes the Access to Space (A2S) Workshop held on February 25-27, 2020 at the Johns Hopkins University Applied Physics Laboratory (APL) and hosted by NASA’s Science Mission Directorate (SMD). This workshop solicited community input on the creation and management of an ESPA-class1payload pipeline for NASA SMD launches. The workshop brought together roughly 180 participants including scientists, engineers, instrument developers, launch providers, and policy makers across NASA centers, government agencies, commercial industry, research institutes, and academia.
ESPA-Class Spacecraft↗