Use case

Enhanced Prediction of Planned Arrival Times based on Historical Traffic Information in PTV OptiFlow

Tired of your drivers getting stuck in traffic and failing to meet your scheduled delivery times? PTV OptiFlow addresses this challenge by incorporating time-dependent traffic patterns based on historical data into route optimization. This significantly improves delivery performance, customer satisfaction and driver retention.

Request demo

Why use PTV OptiFlow for enhanced route accuracy?

Traditional route optimization products often rely on average travel times, which do not account for traffic fluctuations throughout the day. PTV OptiFlow, however, integrates traffic patterns, enabling more precise travel time estimates. This means that your drivers’ routes are optimized to avoid peak congestion, reducing delays and ensuring timely deliveries.

Key features

  • Historical Traffic Integration 
    PTV OptiFlow uses traffic patterns generated from historical traffic data from millions of road users to plan the most robust routes.
  • Advanced Algorithms 
    The powerful algorithms handle large datasets and ensure that travel times are accurately calculated for different times of the day and days of the week.

Benefits of time-dependent optimization with PTV OptiFlow

Delivery time
Improved Delivery Performance

By taking realistic journey times into account and avoiding traffic hotspots at peak times.

Driver retention
Driver Retention

Reduced time spent in traffic translates to less stress and higher job satisfaction for your drivers.

Customer Satisfaction

Timely deliveries boost customer satisfaction, leading to better service ratings and repeat business.

Cost Savings

Efficient routing reduces fuel consumption and operational costs, providing significant savings.


Implementing time-dependent route optimization with PTV OptiFlow significantly enhances delivery performance by reducing traffic delays. This advanced capability not only improves customer and driver satisfaction but also delivers substantial cost savings. Embrace PTV OptiFlow to transform your logistics operations with smarter, traffic-aware routing.

Are you ready to transform your logistics operations with smarter, traffic-aware routing?

Request demo

Download this use case in PDF

Use case sheet | PTV OptiFlow | Time-dependent Traffic (EN)
747.48 KB

More use cases

Dock Scheduling with PTV OptiFlow

Are your warehouse loading docks a bottleneck in your transport process? Are you struggling with peaks in loading activity? PTV OptiFlow is the solution.

Learn more
Cost Optimization with PTV OptiFlow

PTV OptiFlow inherently focuses on finding the most economical delivery plans by defining specific costs for various factors. 

Learn more
Integration of Deliveries & Pickups with PTV OptiFlow

Are your logistics operations hampered by the inefficiencies of separate delivery and pickup processes? PTV OptiFlow revolutionizes this process.

Learn more
Simplify Route Planning Amid Complex Tariff Structures with PTV OptiFlow

PTV OptiFlow offers a sophisticated solution that integrates distinct costs at the order level for any subcontractor in your plan. 

Learn more
Enhancing Planning Reliability with PTV OptiFlow

PTV OptiFlow creates robust plans that eliminate the need for post-planning adjustments, ensuring optimal and reliable logistics operations.

Learn more
Optimizing Outsourcing Decisions with PTV OptiFlow

Do you rely on rules of thumb to decide which volumes to outsource? PTV OptiFlow eliminates guesswork by leveraging the various cost structure details.

Learn more
Mastering the Art of Choosing Between Cross Docking and Direct Delivery with PTV OptiFlow

Making strategic decisions on whether to cross dock a delivery for consolidation with other shipments or to proceed with direct delivery is crucial for operational efficiency.

Learn more
Integrated Depot and Route Optimization with PTV OptiFlow

Are you tired of the task of breaking down your planning process by first assigning deliveries to a depot and then optimizing routes for each depot individually?

Learn more