Vehicle Dispatch Capability Assessment for Urban Air Mobility
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Solution Overview
Problem
Urban air mobility (UAM) systems face challenges in managing vehicle operability and readiness for dispatch, requiring precise spatial and temporal management to optimize revenue streams while avoiding excessive data transmission that could overwhelm systems or necessitate additional infrastructure.
Innovation Solution
A system and method for determining a vehicle's dispatch capability from a vehicle port, involving data reception, analysis, and maintenance state assessment using processors to identify suitable vehicles for passenger ride requests, with outputs to dispatch and maintenance services, optimizing vehicle utilization and reducing data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive vehicle data is collected and transmitted to determine dispatch capability, then vehicle readiness assessment accuracy is improved, but data transmission volume increases causing system overload
Solution Approach 1:
The system segments vehicle data into critical parameters (battery charge level, temperature, motor performance, altitude sensor status) and non-critical data. Only critical parameters are transmitted to the dispatch service, reducing data volume while maintaining assessment accuracy. This segmentation allows the system to evaluate vehicle readiness without overwhelming the communication infrastructure.
Solution Approach 2:
The system extracts only the essential vehicle data elements needed for dispatch capability determination from the complete vehicle data set. By taking out and transmitting only the critical parameters (charge status, temperature thresholds, motor operational ranges, altitude sensor functionality), the system eliminates unnecessary data transmission while preserving the accuracy of vehicle readiness assessment.
2Reliability
If real-time vehicle monitoring is implemented to ensure operational readiness, then dispatch reliability is improved, but system complexity increases
Solution Approach 1:
The service processor performs multiple functions using a unified approach: it receives critical vehicle parameters, monitors them against predefined thresholds, determines dispatch capability, and communicates with both dispatch and maintenance services. This multi-functional design improves dispatch reliability through comprehensive monitoring while avoiding the complexity of separate specialized systems for each function.
Solution Approach 2:
The system monitors vehicle parameters (charge level, temperature, motor performance, altitude) and changes the operational state determination based on parameter threshold comparisons. When parameters remain within acceptable ranges, the vehicle is authorized for dispatch; when thresholds are exceeded, maintenance is required. This parameter-based approach provides reliable real-time monitoring with relatively simple system architecture.
3Productivity
If frequent vehicle status checks are performed to optimize fleet utilization, then revenue optimization is improved, but communication frequency increases overwhelming the system
Solution Approach 1:
The system implements periodic status checks at specific intervals (e.g., upon vehicle arrival at vertiport, before scheduled dispatch) rather than continuous monitoring. This periodic action allows the system to optimize fleet utilization by ensuring vehicles are ready for dispatch while limiting communication frequency to prevent system overload. The timing of checks is synchronized with operational cycles rather than occurring continuously.
Solution Approach 2:
The system performs vehicle status assessment in advance before dispatch is required, determining readiness status ahead of time. By conducting preliminary checks when vehicles arrive at vertiports or before scheduled flights, the system can optimize fleet allocation decisions without requiring frequent real-time communications during operational periods, thus reducing overall communication burden while maintaining high fleet utilization efficiency.
Data Source
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AI summary
Disclosed are methods, systems, and non-transitory computer-readable medium for determining a capability of a vehicle for dispatch. The method may include receiving vehicle data from a vehicle located at or near a vehicle port, and a dispatch schedule, for a fleet of vehicles, from a dispatch service. The method may also include analyzing the received data to determine at least a dispatch capability of the vehicle and a maintenance state of the vehicle, the determined dispatch capability being one of authorization for dispatch with no maintenance alert, authorization for dispatch with at least one maintenance alert, or prohibition of dispatch with at least one maintenance alert. The method may further include identifying a vehicle for dispatch, and outputting the identified vehicle for dispatch to the dispatch service, and outputting the determined maintenance state of the vehicle to at least one of the dispatch service and a vehicle maintenance service.