FAA-NASA vs. Lane-Based Strategic Deconfliction

Sacharny, David; Henderson, Thomas C.; Cline, Michael; Russon, Benjamin; Guo, Ejay

doi:10.1109/mfi49285.2020.9235239

Cited by 14 publications

(4 citation statements)

References 2 publications

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“…This RID-VC is used to ensure that the user does not deny the mission plan, and that the plan is scheduled by an authorized USS. Finally, the mission plan is scheduled (by some scheduling algorithms [36], [37], [38]) and returned with the RID-VC to the user.…”

Section: Request Mission Planmentioning

confidence: 99%

Unmanned Aerial Vehicles Traffic Management Solution Using Crowd-Sensing and Blockchain

Alkadi

Shoufan

2023

IEEE Trans. Netw. Serv. Manage.

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Unmanned aerial vehicles (UAVs) are gaining immense attention due to their potential to revolutionize various businesses and industries. However, the adoption of UAV-assisted applications will strongly rely on the provision of reliable systems that allow managing UAV operations at high levels of safety and security. Recently, the concept of UAV traffic management (UTM) has been introduced to support safe, efficient, and fair access to low-altitude airspace for commercial UAVs. A UTM system identifies multiple cooperating parties with different roles and levels of authority to provide real-time services to airspace users. However, current UTM systems are centralized and lack a clear definition of protocols that govern a secure interaction between authorities, service providers, and end-users. The lack of such protocols renders the UTM system unscalable and prone to various cyber attacks. Another limitation of the currently proposed UTM architecture is the absence of an efficient mechanism to enforce airspace rules and regulations. To address this issue, we propose a decentralized UTM protocol that controls access to airspace while ensuring high levels of integrity, availability, and confidentiality of airspace operations. To achieve this, we exploit key features of the blockchain and smart contract technologies. In addition, we employ a mobile crowdsensing (MCS) mechanism to seamlessly enforce airspace rules and regulations that govern the UAV operations. The solution is implemented on top of the Etheruem platform and verified using four different smart contract verification tools. We also provided a security and cost analysis of our solution. For reproducibility, we made our implementation publicly available on Github 1 .

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Section: Request Mission Planmentioning

confidence: 99%

Unmanned Aerial Vehicles Traffic Management Solution Using Crowd-Sensing and Blockchain

Alkadi

Shoufan

2023

IEEE Trans. Netw. Serv. Manage.

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“…Specifically, as the flight duration d a is fixed, the lower and upper bound of a feasible time window at the "exit" volume can be expressed by T j a + d a and T j a + d a , where [T j a , T j a ] are the feasible time window defined at the "entrance" volume. Constraint (11) and ( 12) are linked with Constraint (13), where they enforce the arrival status for area flight during the prescribed time duration. Constraint (13) states the arrival status z j a,t for area flight at volume j at time t.…”

Section: B Model Formulationmentioning

confidence: 99%

“…Constraint (11) and ( 12) are linked with Constraint (13), where they enforce the arrival status for area flight during the prescribed time duration. Constraint (13) states the arrival status z j a,t for area flight at volume j at time t.…”

Section: B Model Formulationmentioning

confidence: 99%

“…Other attempts can be found from airspace management perspective. An innovative lane-based approach was proposed and compared with more conventional volume-based strategic deconfliction, which uses one-way lanes and roundabouts at lane intersections to allow a much more efficient analysis and guarantee of separation safety [13]. An airspace reservation method based pre-flight deconfliction was studied in [14], where the process was considered as a multi-agent path finding problem.…”

Section: Introductionmentioning

confidence: 99%

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Incorporating Optimization in Strategic Conflict Resolution for UAS Traffic Management

Tang

2023

IEEE Trans. Intell. Transport. Syst.

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This study presents an approach to incorporate optimisation in the strategic conflict resolution service for unmanned aircraft systems (UAS) traffic management. A conventional approach in line with the First-Come, First-Served (FCFS) principle is introduced, following the generation of two types of flight plans (i.e., linear and area operations) with uncertainty buffers further taken into account. This approach is based on iteratively checking the availability of the shared airspace volumes. Next, an optimisation model is formulated, using the same common airspace representation, aiming at minimising the overall delay and deviation to the equivalent FCFS solution (i.e., fairness concern), subject to operational constraints including a time-based separation minima. Some potential implementations are also envisioned for the optimisation model under plausible operational scenarios. Finally, simulation experiments are performed where five case studies are designed, including FCFS and optimisation, as well as their hybrid and batch uses depending on the flight plan submission time. Sensitivity analysis is conducted to assess the impact of some specific model assumptions. Results suggest that, compared to FCFS, a notable delay reduction can be achieved with optimisation incorporated, which is due to the FCFS prioritisation scheme that is often not efficient.

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Strategic Deconfliction

Sacharny

Henderson

2012

Lane-Based Unmanned Aircraft Systems Traffic Management

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FAA-NASA vs. Lane-Based Strategic Deconfliction

Cited by 14 publications

References 2 publications

Unmanned Aerial Vehicles Traffic Management Solution Using Crowd-Sensing and Blockchain

Unmanned Aerial Vehicles Traffic Management Solution Using Crowd-Sensing and Blockchain

Incorporating Optimization in Strategic Conflict Resolution for UAS Traffic Management

Strategic Deconfliction

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