Hybrid Light Personal Electric Vehicle Simulation Model
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Solution Overview
Problem
Conventional traffic simulation software is inadequate in modeling the hybrid behaviors of Light Personal Electric Vehicles (LPEVs), which switch between pedestrian and vehicle modes, as it fails to accurately simulate their interactions with other vehicles and pedestrians, and does not account for their unique traffic behaviors.
Innovation Solution
A hybrid modeling approach that combines vehicle and pedestrian models to simulate LPEV behaviors, using empirical data from sensors and GPS traces to determine whether an LPEV is behaving as a vehicle or pedestrian, and switching between these models dynamically to accurately predict trajectories and interactions within a virtual simulation environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional vehicle models are used to simulate LPEVs, then lane-following and safe distance maintenance are ensured, but the model fails to capture sudden directional changes and area-wide movement behaviors
Solution Approach 1:
The patent applies dynamics by making the simulation model switchable between vehicle-mode and pedestrian-mode behaviors. The LPEV agent dynamically transitions between following lanes (vehicle behavior) and moving freely across areas (pedestrian behavior), allowing the model to adapt to different operational contexts and accurately represent real-world LPEV usage patterns.
Solution Approach 2:
The patent creates a universal simulation model that incorporates both vehicle-model characteristics (lane-following, safe distance) and pedestrian-model characteristics (sudden directional changes, area-wide movement). This multi-functional model can represent LPEVs in various operational states, making it applicable to diverse simulation scenarios.
2Adaptability or versatility
If conventional pedestrian models are used to simulate LPEVs, then sudden directional changes and area-wide movement are captured, but lane-following and safe distance maintenance are lost
Solution Approach 1:
The simulation model dynamically switches between pedestrian-mode (for sudden directional changes and area-wide movement) and vehicle-mode (for lane-following and safe distance maintenance) based on the LPEV's current operational context, ensuring both behavioral flexibility and simulation accuracy are maintained.
Solution Approach 2:
The patent applies local quality by assigning different behavioral characteristics to different spatial contexts. When the LPEV is on sidewalks or open areas, pedestrian-mode behaviors (free movement, sudden changes) are applied. When on roads or lanes, vehicle-mode behaviors (lane-following, safe distance) are applied, making the simulation locally accurate.
3Device complexity
If a single model is used for LPEVs, then model simplicity is maintained, but the hybrid nature of LPEV behaviors cannot be represented
Solution Approach 1:
The patent uses a dynamic switching mechanism that allows a single LPEV agent to exhibit both vehicle-like and pedestrian-like behaviors as needed. Rather than creating separate models, the system dynamically adjusts the behavioral mode based on contextual factors, maintaining model simplicity while achieving accurate hybrid behavior representation.
Data Source
AI summary
Hybrid light personal electric vehicle analysis is disclosed herein. An example method includes determining empirical data from a light personal electric vehicle (LPEV) over a period of time, determining LPEV behaviors from the empirical data during the period of time, and building a hybrid simulation model over the period of time by switching between a pedestrian simulation model when the LPEV behaviors correspond to pedestrian behaviors and a vehicle simulation model when the LPEV behaviors correspond to vehicle behaviors.