Frequently Asked Questions

vitaRoute is an API-first route optimization platform that produces optimal routes for your field teams with a single API call. It uses reinforcement learning and a proprietary algorithm with 20+ real-world parameters.

We evaluate stop locations, vehicle capacity, walking distance, district rules and traffic simultaneously. Our engine (RL-SBRP) solves them jointly to produce field-feasible routes that minimize vehicle count, total distance and time.

Pricing is per node (point), with tiered plans that scale with your needs. You can start on a free plan and upgrade as your volume grows; overage is billed at a transparent per-unit rate.

You send passenger/stop locations and constraints as JSON to a single REST endpoint and get optimized routes back instantly. Create your API key from the dashboard and integrate in minutes.

Personnel shuttles, student transport, VIP transfer and logistics/distribution — all multi-vehicle pickup and delivery scenarios are supported.

We group passengers based on the real walking network; each passenger is assigned to a stop within the maximum walking distance you define. Stops are placed on roads the vehicle can actually drive.

It works in any region with map data; it is currently fully optimized for Türkiye, with coverage continuously expanding.

Yes. You can start with the free plan — no credit card required — and try the API and the dashboard.

Google Maps and Yandex Maps are navigation tools — they show one driver the shortest path from A to B. vitaRoute is a multi-vehicle, multi-passenger optimization engine: it automatically groups hundreds of passengers, places stops on the real road network, and determines which vehicle takes which route by solving all constraints simultaneously. Google Maps cannot perform this computation.

Our platform can optimize projects with 1,000+ passengers and 100+ vehicles in seconds. Maximum scale varies by plan; the enterprise plan is recommended for large-scale operations.

RL-SBRP (Reinforcement Learning–School Bus Routing Problem) is our proprietary optimization framework that combines reinforcement learning with the classical school bus routing problem algorithm. Developed through our TÜBİTAK-backed R&D process, this framework significantly improves both solution quality and computation speed compared to classical methods.

SBRP (School Bus Routing Problem) is a combinatorial optimization problem used to optimize school bus routes. It falls into the NP-hard problem class — meaning the number of possible solutions grows exponentially with the number of stops. vitaRoute's RL-SBRP engine is designed to solve this problem in practical time frames.

Reinforcement learning (RL) is a machine learning method where an agent learns the optimal strategy through trial and error. At vitaRoute, the RL agent was trained on thousands of virtual transportation scenarios and learned to produce routes compliant with real-world constraints (traffic, walking distance, vehicle capacity). This turns hours of classical computation into seconds.

You upload student addresses, school location, vehicle capacities and maximum walking distance. The engine groups passengers by the real walking network, determines stops, and calculates the optimal route for each vehicle. Results appear in map view on the dashboard; once approved, they can be forwarded to drivers.

Traditional manual planning for 50 employees can take 2-4 hours. With vitaRoute the same plan is ready in under 10 seconds — even for 1,000 employees it rarely exceeds 30 seconds.

Map applications (Google Maps, Apple Maps) are designed for individual navigation: one driver, one route. Route optimization software is designed for multi-vehicle operations: it automatically calculates which vehicle picks up which passengers, in what order to visit stops, and how to minimize fuel costs.

Yes. The system supports route planning parameters compliant with Turkey's Ministry of National Education school transport regulations: maximum walking distance, district boundaries, and age-group constraints. Contact our sales team for details.

vitaRoute users report an average of 15-20% fuel savings, stemming from reduced total distance and higher vehicle occupancy rates. For a 30-vehicle fleet, an 18% reduction in monthly fuel costs can translate to significant annual savings.

While it varies by operation size, our average users report reducing weekly planning time from 8-15 hours down to 30-60 minutes.

Yes. All data is transmitted with SSL/TLS encryption and processed in infrastructure compliant with Turkey's KVKK and EU GDPR requirements. Passenger locations are not shared with third parties. Contact legal@vitarnd.com for our data processing agreement.

We use OpenStreetMap (OSM)-based OSRM (Open Source Routing Machine) infrastructure with a dedicated Turkey map server updated monthly. Route calculations are based on the real road network, one-way street rules, and realistic travel times.

Both are available. vitaRoute App is a full-featured web application where you can create projects, add passengers, view routes on a map, and forward them to drivers — no coding required. The API is used for integrating with your existing systems.

The RL-SBRP algorithm underlying vitaRoute was developed within an R&D project supported by TÜBİTAK (The Scientific and Technological Research Council of Türkiye). This support reflects the algorithm's academic foundation and independent validation.