Traffic Simulation Conversion Between Mesoscopic and Microscopic Models
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing traffic simulation technologies face challenges in maintaining consistency of traffic statuses before and after conversion between mesoscopic and microscopic traffic simulations, leading to significant deviations in traffic conditions.
Innovation Solution
A method and apparatus for converting vehicle traffic data between mesoscopic and microscopic traffic simulations, allowing for flexible conversion by obtaining and processing specific vehicle data to ensure consistent simulation results, including determining longitude, latitude, and front orientation for microscopic simulations, and distance and landing time for mesoscopic simulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If entire road network conversion is performed between mesoscopic and microscopic traffic simulations, then conversion coverage is improved, but traffic status consistency deteriorates
Solution Approach 1:
The patent divides the road network into multiple road sections and processes conversion on a per-section basis rather than converting the entire network at once. This segmentation allows for better control and maintenance of traffic status consistency while achieving comprehensive coverage through systematic processing of all sections.
Solution Approach 2:
The patent applies different conversion strategies and parameters to different road sections based on their specific characteristics. By tailoring the conversion approach to local conditions of each road section, the system maintains traffic status consistency while achieving overall network coverage.
2Measurement precision
If detailed vehicle-level data conversion is performed, then traffic simulation accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent transforms vehicle traffic data by changing its parameters and representation format according to the specific requirements of different road sections. This involves converting between different coordinate systems, speed representations, and traffic flow parameters, achieving high accuracy while managing complexity through systematic parameter transformation.
Solution Approach 2:
The patent introduces intermediate processing steps and data structures that facilitate the transformation between mesoscopic and microscopic representations. These intermediaries act as mediators that simplify the complex conversion process by breaking it down into manageable transformation stages.
Data Source
AI summary
A traffic simulation conversion method and apparatus, a computer device, and a storage medium relate to the field of traffic simulation technologies. The method includes: obtaining first vehicle traffic data of a vehicle in a first traffic simulation; performing conversion according to the first vehicle traffic data to obtain second vehicle traffic data of the vehicle in a second traffic simulation; and running the second traffic simulation according to the second vehicle traffic data of the vehicle. The first traffic simulation and the second traffic simulation include one of a microscopic traffic simulation and a mesoscopic traffic simulation respectively. The first traffic simulation is different from the second traffic simulation. Vehicle traffic data of each vehicle in a traffic simulation is converted to implement vehicle-level traffic simulation conversion. Therefore, good consistency in traffic conditions before and after conversion is ensured, and traffic simulation accuracy is improved.