Technology
AI technology specialized in mobility to solve transportation challenges
Core Technology of DRT
AI Dynamic Routing
AI-powered routing system analyzes real-time demand to minimize unnecessary trips and create optimal routes, maximizing user experience.
Demand Prediction and Operation Simulation
Mobility data and demographic modeling to predict local travel demand and evaluate the expected outcome of platform implementation through real-time simulations.
Local Mobility Demand Analytics
· Bus and Subway Route Information
· Public Transit boarding, alighting and Transfer data
· Taxi boarding and alighting data
· Mobility demand at transportation hubs
· Major residential, education, commercial districts and other POIs
· Population density, household count, age group data
Mobility Data Pipeline
Shucle collects and processes a vast amount of mass transit, POIs, road network, boarding, and demographic data to analyze and forecast regional demand.
Real-time Operation Simulation
Realistic operation simulator analyzes vehicle allocation and other service performances to help evaluate the expected outcome.
Demand-based optimization
Shucle's system automatically optimizes operation based on the local characteristics and demand, offering an adaptive solution for a more stable mobility experience in changing environment.
AI-Assisted Scheduling
Shucle automatically generates vehicle schedules that maximize passenger transport based on demands and assure driver working conditions.
Optimized Operation Planning
Shucle recommends routes and operation types according to the local characteristics and demand. The system supports a flexible combination of fixed routes and demand-responsive services, adapting to different operational needs.
Operation Policy Customization
Vehicle allocation and service operation policy can be fine-tuned depending on the local transportation policy, mobility demand, and demographic distribution.
Data-driven operation
Real-time monitoring and data-based automation cost minimization
Real-time Data Analytics
Accumulated real-time operation data and trends are available in various visual chart forms and indicators. Data visualization allows for easy identification of local mobility patterns.
Anomalistic Operation Detection
Extraordinary events are automatically detected and immediately delivered to the management for quick resolution of the situation and stable operation.
Intelligent Map Editor
Shucle suggests bus stops for boarding and alighting based on pedestrian accessiblity and mobility demand. An intuitive map editor allows convenient construction of map data.
Patents
• Virtual stop arrangement based on demand prediction
• vehicle stop selection methods and corresponding operational servers
• Route navigating algorithm based on demand prediction
• Boarding and alighting spot optimization
• Automatic image content extraction of boarding and alighting spots
• Automatic extraction of boarding and alighting spots
• Operation scheduling algorithm for demand-responsive transportation system
• (Pending) Flexible pricing plan
• (Pending) Payment-related technology
• (In preparation) Effctive vehicle operation(vehicle resting area allocation algorithm)
