Hybrid Traffic Simulation for Continuous Vehicle Representation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing traffic simulation methods experience discontinuity and vehicle flashing due to restarting simulations based on a latest traffic OD matrix, leading to inconsistent vehicle representation across time windows.
Innovation Solution
A method combining mesoscopic and microscopic traffic simulations, where mesoscopic simulation is performed first to determine vehicle paths based on real-time microscopic data from the previous time period, followed by detailed microscopic simulation to ensure smooth transitions and accurate real-time traffic conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traffic simulation is restarted based on a latest traffic OD matrix in batch cycles, then the simulation can be performed with updated traffic data, but the continuity of vehicle representation is lost causing flashing and disappearance of vehicles
Solution Approach 1:
The patent applies preliminary action by carrying forward simulation vehicles from the previous time window that are still in transit. Instead of emptying and restarting the simulation, the system preserves these vehicles and continues their simulation in the new time window, ensuring continuous vehicle representation without flashing or disappearance.
Solution Approach 2:
The patent implements continuity of useful action by maintaining the simulation state across batch cycles. Vehicles that are still traveling are kept in the simulation environment, and their trajectories are continuously updated, ensuring uninterrupted and consistent vehicle representation throughout the simulation process.
2Adaptability or versatility
If simulation vehicles are emptied and simulation is restarted based on latest traffic OD matrix, then the simulation can use updated traffic information, but the transition between adjacent batches shows discontinuity and vehicle flashing
Solution Approach 1:
The system performs preliminary action by pre-preserving vehicles that are in transit before the batch cycle ends. These vehicles are carried forward into the next time window with updated OD matrix data, allowing the system to adapt to new traffic information while maintaining simulation stability and avoiding discontinuities.
Solution Approach 2:
The patent applies beforehand cushioning by creating a buffer zone for vehicles in transit. Instead of abruptly clearing vehicles, the system allows them to continue their simulated journeys, cushioning the transition between batch cycles and preventing the harmful effects of sudden vehicle disappearance or flashing.
3Productivity
If batch cycle simulation is used with time windows, then the simulation can process traffic data in manageable segments, but vehicle flashing occurs during transition between batches
Solution Approach 1:
The patent applies preliminary action by preparing and preserving in-transit vehicles before the batch transition occurs. This allows the simulation to efficiently process traffic data in batch cycles while preventing the harmful artifact of vehicle flashing, as the vehicles are already prepared to continue seamlessly into the next time window.
Solution Approach 2:
The system maintains continuity of useful action by ensuring that vehicle simulations continue uninterrupted across batch boundaries. Vehicles that are still traveling are kept active and their positions are continuously updated, eliminating the flashing artifact while preserving the efficiency of batch cycle processing.
Data Source
AI summary
A traffic simulation method includes: performing mesoscopic traffic simulation on a target vehicle corresponding to a target trip matrix in a current time period based on starting mesoscopic simulated traffic condition data corresponding to the current time period and a simulation requirement to obtain target travel data of the target vehicle in the current time period, the starting mesoscopic simulated traffic condition data being determined according to real-time microscopic simulated traffic condition data in a previous time period corresponding to the current time period; and performing microscopic traffic simulation on a traveling vehicle in a simulated road network corresponding to the starting mesoscopic simulated traffic condition data based on the target travel data to obtain real-time microscopic simulated traffic condition data corresponding to the current time period, which is used for obtaining a simulated traffic condition corresponding to the simulation requirement in the current time period.