OW Suite™
OW enables cities and public transport authorities to understand how their mobility systems actually behave, optimize solutions under real-world constraints, and institutionalize continuous improvement through decision intelligence.
👉 Related article:Empty kilometers and dead miles in transit operations
11 module found
OW OD Matrix™
Reconstructing the true demand structure of the city
Decision Question
How can planning and optimization be reliable when the full passenger journey is invisible?
Decision Support
OW reconstructs complete journeys using AI-based trip chaining powered by LSTM and Graph Neural Networks, inferring alighting points from smart card and vehicle movement data. This produces a true Origin–Destination matrix, forming the analytical backbone of all subsequent decisions.
Data Sources
Decision Signals*Indicators used to evaluate decision alternatives
Deployment
OW FreqOpt™
Frequency and schedule optimization under demand variability
Decision Question
How should frequency adapt to demand variability without destabilizing the network?
Decision Support
Scientifically grounded frequency optimization models calculate optimal headways by time-of-day, balancing passenger waiting time, load distribution, and operational feasibility. Outcome: Reduced waiting times, smoother peak operations, and the elimination of static, intuition-driven schedules.
Data Sources
Decision Signals*Indicators used to evaluate decision alternatives
Deployment
OW FleetOpt™
Vehicle allocation and empty mileage minimization
Decision Question
How should vehicles be allocated across routes to minimize empty kilometers while preserving service quality?
Decision Support
Constraint Programming–based allocation models generate optimized vehicle blocks aligned with frequency plans, reducing dead mileage and unnecessary fleet usage. Measured Impact: Typical 10–30% cost reduction, lower fuel consumption, and improved asset utilization.
Data Sources
Decision Signals*Indicators used to evaluate decision alternatives
Deployment
OW TaskAssign™
Driver and vehicle duty assignment under legal and operational constraints
Decision Question
How can driver and vehicle duties be assigned fairly, legally, and without operational risk?
Decision Support
Automated duty assignment respecting labor laws, rest requirements, certifications, and operational constraints — eliminating manual errors and hidden compliance risks. Outcome: Fair schedules, legal certainty, and operational robustness.
Data Sources
Decision Signals*Indicators used to evaluate decision alternatives
Deployment
OW RiderSense™
Passenger flow, crowding, and behavioral demand analysis
Decision Question
Which passenger behavior patterns reveal system-level inefficiencies?
Decision Support
RiderSense extracts behavioral demand signals and crowding patterns, translating passenger experience into measurable decision variables. Value: Designing services around how people actually move — not just how vehicles operate.
Data Sources
Decision Signals*Indicators used to evaluate decision alternatives
Deployment
OW CostLogic™
Operational cost analysis and optimization
Decision Question
Which costs are structural, and which are driven by decisions?
Decision Support
Cost behavior models separate fixed and variable components, revealing where decisions truly influence financial outcomes. Outcome: Budget discussions move from totals to decision impact.
Data Sources
Decision Signals*Indicators used to evaluate decision alternatives
Deployment
OW RouteOpt™
OD-based route and network design
Decision Question
Where are service gaps, and how should routes evolve to meet future demand?
Decision Support
OD-based network analytics identify underserved corridors and generate optimized route alternatives aligned with long-term mobility objectives.
Data Sources
Decision Signals*Indicators used to evaluate decision alternatives
Deployment
OW CompAnalytics™
Network competition and duplication analysis
Decision Question
Where does route overlap create inefficiency or internal competition?
Decision Support
Graph-theoretic analysis quantifies duplication, feeder relationships, and network redundancy, supporting rational network design.
Data Sources
Decision Signals*Indicators used to evaluate decision alternatives
Deployment
OW Accessibility Monitor™
Equity and accessibility analysis
Decision Question
Who benefits from the network — and who is systematically excluded?
Decision Support
Accessibility scoring and coverage analysis transform equity into a measurable, optimizable decision variable.
Data Sources
Decision Signals*Indicators used to evaluate decision alternatives
Deployment
OW GTFSHub™
Real-time operational decision infrastructure
Decision Question
How can optimized plans be reliably deployed and communicated?
Decision Support
Unified GTFS and GTFS-RT processing ensures consistency across operational systems and passenger information platforms.
Data Sources
Decision Signals*Indicators used to evaluate decision alternatives
Deployment
OW Intelligence Hub™
Cross-module reasoning and decision synthesis
Decision Question
How do insights from multiple modules combine into coherent decisions?
Decision Support
A synthesis layer that integrates outputs across the OW platform into unified decision scenarios, trade-off analyses, and recommended actions. OW does not deliver dashboards. OW delivers decision logic.
Data Sources
Decision Signals*Indicators used to evaluate decision alternatives
Deployment
Decision-Ready Integration
Built to work with your existing infrastructure
Data pipelines designed to support reasoning, not just ingestion.
Data Integration
Seamless integration with GTFS, GTFS-RT, AVL, and ticketing systems
Cloud & On-Prem
Flexible deployment options to meet your infrastructure requirements
API-First
RESTful APIs for easy integration with existing systems
Secure
Enterprise-grade security with end-to-end encryption
Modules gain meaning only inside decision contexts.