M-MOTR
economic-mathematical model of transport routes
THE ECONOMIC PROJECT OF THE NEW CENTURY
Here is a potential project in the field of transport logistics that aims to improve the efficiency of cargo and passenger transportation and uses new technologies and mathematical models.
Transport is the blood of the economy.
Routes can be better.
Transport can be more efficient and economical
If successful, implement the system fleet-wide and measure the overall reduction in fuel consumption and delivery times.
MONITORING
Monitoring of existing transport routes.
ARTIFICIAL INTELLIGENCE
Artificial intelligence processes route, cargo and passenger data.
MATHEMATICAL MODEL
The data is embedded in a special mathematical model.
PROFIT GROWTH
Transportation costs are decreasing.
RESEARCH
Confirmed by research and publications.
HELPING YOUR BUSINESS
The indicators are below.
LEONID KOVALENKO
PROJECT MANAGER - RESEARCHER
By using machine learning and real-time traffic data to optimize routes, this system could significantly reduced fuel costs and delivery times for the cargo and passenger transportation fleet. It could also lead to increased customer satisfaction due to faster delivery times.
REAL ECONOMIC INDICATORS
Develop a user interface that allows fleet managers to input the details of a new delivery and receive suggested routes based on the trained model.
Test the system by comparing the routes and delivery times of a sample of deliveries made using the system to those made using the current route planning method.
If successful, implement the system fleet-wide and measure the overall reduction in fuel consumption and delivery times.