scholarly journals OPTIMIZATION OF THE TRAFFIC FLOW SIMULATION MODEL AT A REGULATED INTERSECTION

2021 ◽  
pp. 3-11
Author(s):  
NADEZHDA NIKOLAEVNA MAKSIMOVA ◽  
◽  
VLADISLAV OLEGOVICH SALMIYANOV ◽  
Keyword(s):  
Simulation Model ◽  
Travel Time ◽  
Traffic Flow ◽  
Flow Simulation ◽  
Traffic Flow Simulation

In this paper the traffic flow simulation model at a regulated intersection presents (on the example of the intersection of Kalinina and Tenistaya streets in Blagoveshchensk). The study of the simulation model was carried out in the AnyLogic program. An optimization experiment was carried out to minimize the travel time of the intersection by vehicles.

scholarly journals Traffic and Driving Simulator Based on Architecture of Interactive Motion

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Alexander Paz ◽  
Naveen Veeramisti ◽  
Romesh Khaddar ◽  
Hanns de la Fuente-Mella ◽  
Luiza Modorcea
Keyword(s):  
Simulation Model ◽  
Traffic Flow ◽  
Driving Simulator ◽  
Flow Simulation ◽  
Simulation Models ◽  
User Equilibrium ◽  
Human Beings ◽  
Traffic Flow Simulation ◽  
Background Traffic ◽  
Communication And Coordination

This study proposes an architecture for an interactive motion-based traffic simulation environment. In order to enhance modeling realism involving actual human beings, the proposed architecture integrates multiple types of simulation, including: (i) motion-based driving simulation, (ii) pedestrian simulation, (iii) motorcycling and bicycling simulation, and (iv) traffic flow simulation. The architecture has been designed to enable the simulation of the entire network; as a result, the actual driver, pedestrian, and bike rider can navigate anywhere in the system. In addition, the background traffic interacts with the actual human beings. This is accomplished by using a hybrid mesomicroscopic traffic flow simulation modeling approach. The mesoscopic traffic flow simulation model loads the results of a user equilibrium traffic assignment solution and propagates the corresponding traffic through the entire system. The microscopic traffic flow simulation model provides background traffic around the vicinities where actual human beings are navigating the system. The two traffic flow simulation models interact continuously to update system conditions based on the interactions between actual humans and the fully simulated entities. Implementation efforts are currently in progress and some preliminary tests of individual components have been conducted. The implementation of the proposed architecture faces significant challenges ranging from multiplatform and multilanguage integration to multievent communication and coordination.

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