Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Kurzhanskiy, Alexander"'
Speed advisory systems for connected vehicles rely on the estimation of green (or red) light duration at signalized intersections. A particular challenge is to predict the signal phases of semi- and fully-actuated traffic lights. In this paper, we in
Externí odkaz:
http://arxiv.org/abs/2107.10372
Publikováno v:
2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 2125-2130
The Braess paradox is a counter-intuitive phenomenon whereby adding roads to a network results in higher travel time at equilibrium. In this paper we present an algorithm to detect the occurrence of this paradox in real-world networks with the help o
Externí odkaz:
http://arxiv.org/abs/2107.08374
Highway capacity is often subject to stochastic perturbations due to the combined effects of weather, traffic mixture, driver behavior, etc. This paper is motivated by the need of a systematic approach to traffic control with performance guarantees i
Externí odkaz:
http://arxiv.org/abs/2104.10823
Autor:
Smith, Stanley W., Kim, Yeojun, Guanetti, Jacopo, Li, Ruolin, Firoozi, Roya, Wootton, Bruce, Kurzhanskiy, Alexander A., Borrelli, Francesco, Horowitz, Roberto, Arcak, Murat
In this paper we present a model-predictive control (MPC) based approach for vehicle platooning in an urban traffic setting. Our primary goal is to demonstrate that vehicle platooning has the potential to significantly increase throughput at intersec
Externí odkaz:
http://arxiv.org/abs/2006.10272
Autor:
Smith, Stanley W., Kim, Yeojun, Guanetti, Jacopo, Kurzhanskiy, Alexander A., Arcak, Murat, Borrelli, Francesco
In this paper we propose a distributed model predictive control architecture to coordinate the longitudinal motion of a vehicle platoon at a signalized intersection. Our control approach is cooperative; we use vehicle-to-vehicle (V2V) communication i
Externí odkaz:
http://arxiv.org/abs/1904.08557
In this paper, we study the problem of traffic management in highways facing stochastic perturbations. To model the macroscopic traffic flow under perturbations, we use cell-transmission model with Markovian capacities. The decision variables are: (i
Externí odkaz:
http://arxiv.org/abs/1809.07610
Autor:
Alekseenko, Andrey E., Kholodov, Yaroslav A., Kholodov, Aleksandr S., Goreva, Anna I., Kurzhanskiy, Alexander A., Chehovich, Yuriy V., Starozhilets, Vsevolod M.
In this paper, we propose a unified procedure for calibration of macroscopic second-order multilane traffic models. The focus is on calibrating the fundamental diagram using the combination stationary detector data and GPS traces. GPS traces are used
Externí odkaz:
http://arxiv.org/abs/1610.08085
Autor:
Kholodov, Yaroslav A., Alekseenko, Andrey E., Kholodov, Aleksandr S., Karachev, Aleksey N., Kurzhanskiy, Alexander A.
In this paper, we present a new approach that generalizes the existing second-order hydrodynamic traffic models. In the proposed approach, we use the expression for the relative velocity of disturbances propagation in traffic flow. We show that prope
Externí odkaz:
http://arxiv.org/abs/1610.08084
In vehicle traffic networks, congestion on one outgoing link of a diverging junction often impedes flow to other outgoing links, a phenomenon known as the first-in-first-out (FIFO) property. Simplified traffic models that do not account for the FIFO
Externí odkaz:
http://arxiv.org/abs/1511.05081
Publikováno v:
In IFAC Proceedings Volumes 2014 47(2):332-337
