Tye Mobility BNSF solutions enable modern rail yards to coordinate locomotives and crews with greater precision. By integrating scheduling, locomotive positioning, and remote control into a unified system, this platform reduces dwell times and improves asset utilization.
Designed for high-volume intermodal and manifest operations, Tye Mobility BNSF supports both terminal and en-route visibility. The platform aligns resources with demand, helping operations teams adapt to fluctuating volumes while maintaining service reliability.
| Module | Primary Function | Key Benefit | Typical User |
|---|---|---|---|
| Locomotive Scheduling | Assigns available units to specific services and time windows | Reduces wait times and improves plan adherence | Dispatchers, terminal managers |
| Yard Simulations | Models different switching and routing scenarios before execution | Identifies bottlenecks and validates strategies safely | Operations analysts, planners |
| Remote Control Integration | Connects distributed power and remote-control locomotives | Expands effective crew size and improves cycle times | Remote operators, field crews |
| Real-Time Visibility | Tracks unit movements, events, and exceptions live | Enables rapid adjustments and accurate ETAs | Customer service, control center |
Optimizing Terminal Throughput with Tye Mobility BNSF
High-density yards on the BNSF network face peaks in intermodal trains and constrained crew pools. Tye Mobility BNSF targets these challenges by synchronizing equipment, paths, and personnel. The goal is to sustain throughput without adding physical infrastructure.
Dynamic slotting and priority rules allow the system to favor time-sensitive blocks and service levels. By continuously re-optimizing based on current conditions, planners maintain smoother flows and reduce costly detention.
Enhancing Crew Utilization and Safety
Crew availability and fatigue management directly impact terminal efficiency. Tye Mobility BNSF generates compliant rosters that align with hours-of-service regulations. It balances workload across crews while respecting statutory limits.
The platform supports remote-control operations by assigning virtual crew segments to distributed units. This approach extends the effective workforce, shortens cycle times, and keeps on-site personnel at safer distances from switching moves.
Integrating with Existing Control Systems
Railways rely on host systems for block control, reporting, and interfacing with BNSF back-office tools. Tye Mobility BNSF connects through standardized APIs and adapters, avoiding wholesale replacement of legacy assets. Configurable mappings ensure signals, switches, and authority systems remain in their proven roles while optimization logic runs on Tye.
Change management focuses on role-based dashboards that present recommendations rather than prescriptive commands. Supervisors retain final authority, using model-derived suggestions to make faster, more consistent decisions.
Scalability Across Network Peaks and Special Programs
Seasonal surges, infrastructure projects, and multiunit service expansions test existing planning processes. Tye Mobility BNSF scales compute and data ingestion to handle thousands of units and events per hour. Elastic deployment options support both private cloud and hybrid environments.
The engine preserves consistency between strategic planning and daily execution. Common scenarios, such as doubling block lengths or introducing new routing options, can be evaluated in minutes instead of days.
Deployment Roadmap and Adoption Strategies
Rolling out Tye Mobility BNSF typically follows a phased approach that balances rapid wins with long-term transformation. Early pilots in a single yard validate algorithms, interfaces, and user workflows before network-wide scaling.
Success depends on clear data governance, stable sensor feeds, and engaged super-users who coach operators and interpret model output. Targeted training and feedback loops help teams shift from static schedules to dynamic, model-driven decision-making.
- Define scope and success metrics for initial pilot locations
- Configure unit types, yard equipment, and host interfaces
- Model current state and baseline key performance indicators
- Tune rules, heuristics, and exception thresholds with operations staff
- Deploy in waves, iterating based on performance and user feedback
- Expand remote-control use cases and advanced optimization modules
FAQ
Reader questions
How does Tye Mobility BNSF fit into a yard that already uses a host system?
Tye Mobility BNSF operates alongside your existing host, using APIs and adapters to exchange moves and events. It generates optimized recommendations while the host continues to enforce block authority and interlockings.
Can the platform model remote-control configurations with distributed power units?
Yes, it explicitly models remote-controlled and distributed power locomotives, assigning virtual crew segments and optimizing positioning for efficient switching operations.
What visibility does Tye Mobility BNSF provide to customer service teams?
Real-time dashboards show unit positions, event timestamps, and predicted dwell impacts, enabling more accurate ETAs and proactive exception handling for shippers and receivers.
How does the system handle hours-of-service and fatigue rules for crews?
Built-in rule engines enforce applicable regulations and company policies, automatically generating compliant rosters and flagging potential violations before they affect execution.