scholarly journals Vehicle-In-The-Loop (VIL) and Scenario-In-The-Loop (SCIL) Automotive Simulation Concepts from the Perspectives of Traffic Simulation and Traffic Control

2019 ◽  
Vol 20 (2) ◽  
pp. 153-161 ◽  
Author(s):  
Márton Tamás Horváth ◽  
Qiong Lu ◽  
Tamás Tettamanti ◽  
Árpád Török ◽  
Zsolt Szalay
Keyword(s):  
Traffic Control ◽  
Autonomous Vehicles ◽  
Traffic Simulation ◽  
Hardware In The Loop ◽  
Traffic Dynamics ◽  
Traffic Conditions ◽  
Novel Approach ◽  
Simulation Based ◽  
Hybrid Concept ◽  
Real Traffic

Abstract As highly automated and autonomous vehicles (AVs) become more and more widespread, inducing the change of traffic dynamics, significant changes occur in traditional traffic control. So far, automotive testing has been done mostly in real-world or pure virtual simulation environment. However, this practice is quite obsolete as testing in real traffic conditions can be quite costly, moreover purely simulation based testing might be inadequate for specific goals. Accordingly, a hybrid concept of the Vehicle-inthe-Loop (ViL) was born recently, in accordance with the Hardware-in-the-Loop concept, i.e. in the ViL concept the vehicle is the 'hardware' within the simulation loop. Furthermore, due to the development of software capabilities, a novel approach, the Scenarioin-the-Loop (SciL) concept evolves based on the ViL approach. The paper defines the main purposes and conditions related to implementing ViL and SciL concepts from the perspective of traffic simulation and traffic control.

scholarly journals Intelligently managing mixed traffic flows at intersections Proposal of a platoon-based round-robin algorithm with priorities

2021 ◽  
Author(s):  
Hossein Moradi ◽  
Sara Sasaninejad ◽  
Sabine Wittevrongel ◽  
Joris Walraevens
Keyword(s):  
Traffic Control ◽  
Autonomous Vehicles ◽  
State Of The Art ◽  
Control Methods ◽  
Mixed Traffic ◽  
Traffic Flows ◽  
Traffic Conditions ◽  
Advisory System ◽  
Intersection Control ◽  
Integration Effort

<p>The importance of addressing the complexities of mixed traffic conditions by providing innovative approaches, models, and algorithms for traffic control has been well highlighted in the state-of-the-art literature. Accordingly, the first aim of this study has been to enhance the traditional intersection control methods for the incorporation of autonomous vehicles and wireless communications. For this purpose, we have introduced a novel framework labeled by “PRRP-framework”. The PRRP-framework also enables flexible preferential treatments for some special vehicles within an implementable range of complexity while it addresses the stochastic nature of traffic flow. Moreover, the PRRP-framework has been coupled with a speed advisory system that brings complementary strengths leading to even better performance. Further simulations reported in this manuscript, confirmed that such an integration effort is a prerequisite to move towards sustainable results.<br></p> <p> </p>

Design and Implementation of Intelligent Traffic Control System Based on Mathematica

2011 ◽  
Vol 58-60 ◽  
pp. 2477-2482 ◽  
Author(s):  
Nai Jun Xie ◽  
Qi Hua Cheng
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Light ◽  
Traffic Efficiency ◽  
Traffic Conditions ◽  
Signal Light ◽  
Simulation Based ◽  
Traffic Light Control ◽  
Traffic Control System ◽  
Mathematica Software

Intelligent traffic light control system based on fuzzy control was designed and the implementation of it was also discussed. The system can alter the signal light time according to the number of automobile waiting for passage. The simulation based on Mathematica software show that this method has better effect than traditional way in increase the automobile traffic efficiency and energy saving, what’s more it can adapt to complex traffic conditions.

scholarly journals REORGANIZATION OF LITHUANIAN AIRSPACE

2010 ◽  
Vol 2 (6) ◽  
pp. 103-109
Author(s):  
Vaidotas Kondroška ◽  
Jonas Stankūnas
Keyword(s):  
Traffic Control ◽  
Air Traffic ◽  
Point Of View ◽  
Traffic Flows ◽  
Traffic Dynamics ◽  
Route Network ◽  
Flight Level ◽  
Basic Purpose ◽  
Aircraft Type ◽  
Real Traffic

The basic purpose of the article is considering problems related to ensuring the required capacity of Lithuanian airspace and organising the provision of air traffic services in the most efficient way. The paper presents the results of analysis and experimental research on several scenarios of Lithuanian airspace models that are the most appropriate from the point of view of air traffic control. To allow for a realistic comparison between the scenarios and traffic samples, the current route network, a real traffic sample and the existing traffic dynamics have been used. Furthermore, all other related aspects such as flight level occupancy, flight time, aircraft type and traffic flows have been taken into consideration. The results of analysis will form a basis for ensuring the required capacity of Lithuanian airspace.

Control of Connected and Autonomous Vehicles with Cut-in Movement using Spring Mass Damper System

2018 ◽  
Vol 2672 (20) ◽  
pp. 133-143 ◽  
Author(s):  
Soohyuk Bang ◽  
Soyoung Ahn
Keyword(s):  
Autonomous Vehicles ◽  
Recovery Time ◽  
Control Method ◽  
Control Model ◽  
Lane Change ◽  
Control Parameters ◽  
Traffic Conditions ◽  
Disturbance Propagation ◽  
Simulation Based ◽  
Mass Damper

This paper proposes a theoretical framework to control a platoon of connected and autonomous vehicles (CAVs) in the presence of cut-in movements. The control method is developed based on the spring–mass–damper (SMD) system concept and aims to improve the platoon efficiency and stability after a cut-in movement (e.g., lane change and merging from on-ramp). The method seeks to resolve a disturbance created by a cut-in vehicle by systematically setting two control parameters, spring constant and damping coefficient, of the SMD-based control model based on the prevailing traffic conditions. The control method is evaluated through a simulation based on the changes in speed and spacing, recovery time to reach the desired speed, disturbance propagation, and platoon flow. The simulation result shows that the control method can effectively reduce the disturbance caused by a cut-in movement and improve platoon flow.

scholarly journals Intelligently managing mixed traffic flows at intersections Proposal of a platoon-based round-robin algorithm with priorities

2021 ◽  
Author(s):  
Hossein Moradi ◽  
Sara Sasaninejad ◽  
Sabine Wittevrongel ◽  
Joris Walraevens
Keyword(s):  
Traffic Control ◽  
Autonomous Vehicles ◽  
State Of The Art ◽  
Control Methods ◽  
Mixed Traffic ◽  
Traffic Flows ◽  
Traffic Conditions ◽  
Advisory System ◽  
Intersection Control ◽  
Integration Effort

<p>The importance of addressing the complexities of mixed traffic conditions by providing innovative approaches, models, and algorithms for traffic control has been well highlighted in the state-of-the-art literature. Accordingly, the first aim of this study has been to enhance the traditional intersection control methods for the incorporation of autonomous vehicles and wireless communications. For this purpose, we have introduced a novel framework labeled by “PRRP-framework”. The PRRP-framework also enables flexible preferential treatments for some special vehicles within an implementable range of complexity while it addresses the stochastic nature of traffic flow. Moreover, the PRRP-framework has been coupled with a speed advisory system that brings complementary strengths leading to even better performance. Further simulations reported in this manuscript, confirmed that such an integration effort is a prerequisite to move towards sustainable results.<br></p> <p> </p>

Intelligent control of complex traffic conditions based on machine learning

2021 ◽  
pp. 1-12
Author(s):  
Zhe Li
Keyword(s):  
Machine Learning ◽  
Simulation Model ◽  
Traffic Simulation ◽  
Learning Algorithms ◽  
Control Model ◽  
Machine Learning Algorithms ◽  
Transmission Model ◽  
Cell Transmission Model ◽  
Traffic Conditions ◽  
Simulation Control

 In order to improve the simulation effect of complex traffic conditions, based on machine learning algorithms, this paper builds a simulation model. Starting from the macroscopic traffic flow LWR theory, this paper introduces the process of establishing the original CTM mathematical model, and combines it with machine learning algorithms to improve it, and establishes the variable cell transmission model VCTM ordinary transmission, split transmission, and combined transmission mathematical expressions. Moreover, this paper establishes a road network simulation model to calibrate related simulation parameters. In addition, this paper combines the actual needs of complex traffic conditions analysis to construct a complex traffic simulation control model based on machine learning, and designs a hybrid microscopic traffic simulation system architecture to simulate all relevant factors of complex road conditions. Finally, this paper designs experiments to verify the performance of the simulation model. The research results show that the simulation control model of complex traffic conditions constructed in this paper has certain practical effects.

scholarly journals Novel Aiming Method for Spin-Stabilized Projectiles with a Course Correction Fuze Actuated by Fixed Canards

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1135
Author(s):  
Cheng ◽  
Shen ◽  
Deng ◽  
Deng
Keyword(s):  
Traditional Method ◽  
Angular Motion ◽  
Hardware In The Loop ◽  
Motion Model ◽  
Simulation Based ◽  
Spinning Projectile ◽  
Gyroscopic Effects

Spin-stabilized projectiles with course correction fuzes actuated by fixed canards have the problem of great coupling in both the normal and lateral directions due to intensive gyroscopic effects, which leads to inconsistent maneuverability in different directions. Due to the limited correction ability, which results from the miniaturization of the fuze and fixed canards, a target-aiming method is proposed here to make full use of the correction ability of the canards. From analysis on how the canards work and building an angular motion model, the correction characteristics of a spinning projectile with fixed canards have been studied, and the inconsistent maneuverability in different directions of the projectile has been explained and used to help establish the proposed target aiming method. Hardware-in-the-loop simulation based on a 155 mm howitzer shows that when the correction ability of fixed canards is unchanged, the proposed method can improve the striking accuracy by more than 20% when compared to the traditional method.

scholarly journals Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques

2021 ◽  
Vol 13 (13) ◽  
pp. 2643
Author(s):  
Dário Pedro ◽  
João P. Matos-Carvalho ◽  
José M. Fonseca ◽  
André Mora
Keyword(s):  
Collision Avoidance ◽  
Autonomous Vehicles ◽  
High Demand ◽  
Novel Approach ◽  
Vision Sensors ◽  
Learning Techniques ◽  
Stationary Objects ◽  
Computationally Intensive ◽  
Unmanned Autonomous Vehicles ◽  
Positive Results

Unmanned Autonomous Vehicles (UAV), while not a recent invention, have recently acquired a prominent position in many industries, and they are increasingly used not only by avid customers, but also in high-demand technical use-cases, and will have a significant societal effect in the coming years. However, the use of UAVs is fraught with significant safety threats, such as collisions with dynamic obstacles (other UAVs, birds, or randomly thrown objects). This research focuses on a safety problem that is often overlooked due to a lack of technology and solutions to address it: collisions with non-stationary objects. A novel approach is described that employs deep learning techniques to solve the computationally intensive problem of real-time collision avoidance with dynamic objects using off-the-shelf commercial vision sensors. The suggested approach’s viability was corroborated by multiple experiments, firstly in simulation, and afterward in a concrete real-world case, that consists of dodging a thrown ball. A novel video dataset was created and made available for this purpose, and transfer learning was also tested, with positive results.

Developing an integrated platform to enable hardware-in-the-loop for synchronous VR, traffic simulation and sensor interactions

2022 ◽  
Vol 51 ◽  
pp. 101476
Author(s):  
Semiha Ergan ◽  
Zhengbo Zou ◽  
Suzana Duran Bernardes ◽  
Fan Zuo ◽  
Kaan Ozbay
Keyword(s):  
Traffic Simulation ◽  
Hardware In The Loop ◽  
Integrated Platform
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