The virtual twin of the transport system
Fleet simulator Aseem allows you to test variants of expansion or changes to fleet configuration and demand, including demand prediction for a given or changed service.
A simulation platform based on the latest artificial intelligence technologies dedicated to fleet operators in order to analyze and recommend the best decisions and operational strategies in fleet management.
Aseem will greatly simplify the planning of the company’s transport systems in terms of strategic and operational fleet management. The platform, thanks to testing various operational solutions, allows you to search for the best strategies without the need and risk of introducing constant changes in the company. The functionalities of the Aseem simulator include:
Creation of a base digital twin model for a given fleet
Aseem allows you to model the complete fleet operating system, including vehicle movement, order processing, and driver assignment, and reflect the monitoring of fleet utilization. The uniqueness of this solution is the ability to plan, test and evaluate various operating models related to the use of a fleet of vehicles, taking into account the unpredictability of transport systems.
Control of fleet operating parameters to determine optimal operating strategies
In Aseem we can take into account the size of the road network and the number of vehicles we use to handle orders, which allows us to assess the scalability and effectiveness of algorithmic solutions. It is also possible to define orders incoming to the system and select the policies for assigning vehicles to orders on an ongoing basis. Vehicles can be defined as both conventional and electric vehicles, with different payloads. Distribution points and generated demand can also be parameterized during simulation analyses.
Possibility to test expansion variants or fleet configuration changes, including its electrification
Aseem allows you to analyze the performance of a larger or smaller fleet of vehicles in various operational configurations and with different types of vehicles (vehicle types, e.g. differentiating the size of the cargo space). The result of the simulation analysis is a recommendation of the optimal size and structure of the vehicle fleet for a given demand for the service offered.
Thanks to our deep experience in the field of transport systems and artificial intelligence technology, Aseem enables searching and recommending the best strategies and optimal fleet management policy, minimizing the risk of introducing inefficient operating models in the company.
Analysis of demand change options and demand prediction for a given or new service
The possibility of analyzing demand increase and decrease options, demand prediction for a given service, and recommending a fleet management approach for a given option.
The module-based construction of the platform guarantees flexibility and personalization of the provided solutions. When determining the optimal operational strategy, Aseem also selects the appropriate configuration of products that will be tailored to the specific needs of your fleet of vehicles.