Modelling realistic vehicle traffic flows

2012 ◽  
Author(s):  
C. Borgiattino ◽  
F. Malandrino ◽  
C. Casetti ◽  
C.-F. Chiasserini
Keyword(s):  
Traffic Flows ◽  
Vehicle Traffic

scholarly journals Methods of noise reduction due to special strips of greenery

2020 ◽  
Vol 78 (4) ◽  
pp. 297-302
Keyword(s):  
Noise Reduction ◽  
Green Spaces ◽  
Traffic Flows ◽  
Vehicle Traffic ◽  
Fast Growing

One of the sources of noise is transport. This article shows studies of vehicle traffic flows and provides a principle for selecting an assortment of noise-proof strips of green spaces in Almaty, Republic of Kazakhstan. The most effective noise protection strips are made from plants of large-sized, fast-growing breeds with a densely branching, low-hanging dense crown.

scholarly journals Mathematical Problems of Collaborating Robotic Vehicle Traffic

2021 ◽  
pp. 67-74
Author(s):  
В. А. Галкин
Keyword(s):  
Traffic Flows ◽  
Vehicle Traffic ◽  
Vlasov Equations ◽  
Consistent Field ◽  
Self Consistent ◽  
Self Consistent Field ◽  
Mathematical Problems ◽  
Robotic Vehicle ◽  
Self Consistent Field Theory ◽  
Traffic Processes

Предложен подход для моделирования динамики транспортных потоков для взаимодействующих аппаратов на основе теории самосогласованного поля, основанного на уравнениях А.А. Власова. Сформулированы проблемы применимости таких моделей для описания коллективных явлений трафика в связи с задачами поведения «стаи» роботизированных однородных взаимодействующих аппаратов в фазовом пространстве на основе кинетического подхода. An approach to the simulation of time-dependent collaborating vehicle traffic flows based on the self-consistent field theory and A. Vlasov equations are proposed. The problems of the simulation model applicability to collaborative traffic processes such as the behavior of a swarm of identical collaborating vehicles in phase space using the kinetic approach are stated.

scholarly journals Adaptive-AR Model with Drivers’ Prediction for Traffic Simulation

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Xuequan Lu ◽  
Mingliang Xu ◽  
Wenzhi Chen ◽  
Zonghui Wang ◽  
Abdennour El Rhalibi
Keyword(s):  
Reaction Time ◽  
Real World ◽  
Traffic Simulation ◽  
Real Life ◽  
Ar Model ◽  
Traffic Flows ◽  
Vehicle Traffic ◽  
The Real ◽  
Similar Performance ◽  
Novel Model

We present a novel model called A2R—“Adaptive-AR”—based on a well-known continuum-based model called AR Aw and Rascle (2000) for the simulation of vehicle traffic flows. However, in the standard continuum-based model, vehicles usually follow the flows passively, without taking into account drivers' behavior and effectiveness. In order to simulate real-life traffic flows, we extend the model with a few factors, which include the effectiveness of drivers' prediction, drivers' reaction time, and drivers' types. We demonstrate that our A2R model is effective and the results of the experiments agree well with experience in real world. It has been shown that such a model makes vehicle flows perform more realistically and is closer to the real-life traffic than AR (short for Aw and Rascle and introduced in Aw and Rascle (2000)) model while having a similar performance.

Sign in / Sign up

Export Citation Format

Share Document