A RUDN Mathematician Calculated Parameters for Optimal Crowd and Traffic Control
The majority of physical processes can be described using differential equations. To do so, an unknown quantity (e.g. temperature or velocity) is presented as a function. A differential equation may be written for such a function, and its solution will describe the behavior of the unknown quantity. However, in some cases writing a differential equation is impossible, and mathematicians have to use so-called differential containments - equations in which the equality sign is replaced with the sign of containment or inclusion. A RUDN mathematician developed a comprehensive solution for a group of differential containments and showed its possible applications in city management cases.
Optimal control problems are covered by a special theory in mathematics. The idea of such problems lies in developing (quantitatively or theoretically) a control law that would bring a system to a certain given state in the most efficient way. Imagine a car that is approaching traffic lights. When the distance between them is 250 meters, the green light turns on and remains for 30 seconds. One has to calculate how the car should move to reduce its energy consumption to the minimum. At first this may appear as a problem for school children, but not that both acceleration and slowdown consume the fuel. Therefore, such a problem lies in the scope of the optimal control theory and can be solved using a differential containment.
Using the differential containment in question, one can describe the movement of a crowd. Imagine there are a lot of people in a room, and each of them needs to leave it as quickly as possible. However, there is only one exit. The results obtained by the mathematicians will help calculate the trajectory and speed of movement for each particular person.
The results of the study may be practically applied to the calculation of optimal routes for robotic cars. Another possible area of application is multi-agent robotic systems, i.e. systems of several AI robots working on the same task, such as sorting or transportation of goods. Several robots of this kind form a crowd, and for their work to be efficient, optimal speeds and trajectories should be calculated for each of them.
The chemist of RUDN together with colleagues from Iran and Spain created a catalyst based on palladium and nickel for the oxidation of cyclohesane in the production of adipic acid, which is used for the production of cleaning products, food dyes and other substances. The new catalyst made it possible to double the consumption of cyclohexane.
RUDN University agronomists have proposed a new scheme for fertilizing winter wheat, which allows increasing the yield by 68%. The key to this is in the combination of nitrogen and growth regulators.
RUDN biologists have studied microorganisms that can survive in metalworking fluids. The results will allow “picking up” bacteria and fungi that can process toxic waste fluids into a harmless product.
The chemist of RUDN together with colleagues from Iran and Spain created a catalyst based on palladium and nickel for the oxidation of cyclohesane in the production of adipic acid, which is used for the production of cleaning products, food dyes and other substances. The new catalyst made it possible to double the consumption of cyclohexane.