Basic Simulation Environment for Highly Customized Connected and Autonomous Vehicle Kinematic Scenarios

To enhance the reality of Connected and Autonomous Vehicles (CAVs) kinematic simulation scenarios and to guarantee the accuracy and reliability of the verification, a four-layer CAVs kinematic simulation framework, which is composed with road network layer, vehicle operating layer, uncertainties mod...

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Main Authors: Linguo Chai, Baigen Cai, Wei ShangGuan, Jian Wang, Huashen Wang
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/17/9/1938
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author Linguo Chai
Baigen Cai
Wei ShangGuan
Jian Wang
Huashen Wang
author_facet Linguo Chai
Baigen Cai
Wei ShangGuan
Jian Wang
Huashen Wang
author_sort Linguo Chai
collection DOAJ
description To enhance the reality of Connected and Autonomous Vehicles (CAVs) kinematic simulation scenarios and to guarantee the accuracy and reliability of the verification, a four-layer CAVs kinematic simulation framework, which is composed with road network layer, vehicle operating layer, uncertainties modelling layer and demonstrating layer, is proposed in this paper. Properties of the intersections are defined to describe the road network. A target position based vehicle position updating method is designed to simulate such vehicle behaviors as lane changing and turning. Vehicle kinematic models are implemented to maintain the status of the vehicles when they are moving towards the target position. Priorities for individual vehicle control are authorized for different layers. Operation mechanisms of CAVs uncertainties, which are defined as position error and communication delay in this paper, are implemented in the simulation to enhance the reality of the simulation. A simulation platform is developed based on the proposed methodology. A comparison of simulated and theoretical vehicle delay has been analyzed to prove the validity and the creditability of the platform. The scenario of rear-end collision avoidance is conducted to verify the uncertainties operating mechanisms, and a slot-based intersections (SIs) control strategy is realized and verified in the simulation platform to show the supports of the platform to CAVs kinematic simulation and verification.
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spelling doaj.art-aec399fb8a1f4607830eabb0693488142022-12-22T02:06:50ZengMDPI AGSensors1424-82202017-08-01179193810.3390/s17091938s17091938Basic Simulation Environment for Highly Customized Connected and Autonomous Vehicle Kinematic ScenariosLinguo Chai0Baigen Cai1Wei ShangGuan2Jian Wang3Huashen Wang4School of Electronics and Information Engineering, Beijing Jiaotong University, NO. 3 Shangyuancun, Haidian, Beijing 100044, ChinaSchool of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electronics and Information Engineering, Beijing Jiaotong University, NO. 3 Shangyuancun, Haidian, Beijing 100044, ChinaSchool of Electronics and Information Engineering, Beijing Jiaotong University, NO. 3 Shangyuancun, Haidian, Beijing 100044, ChinaSchool of Electronics and Information Engineering, Beijing Jiaotong University, NO. 3 Shangyuancun, Haidian, Beijing 100044, ChinaTo enhance the reality of Connected and Autonomous Vehicles (CAVs) kinematic simulation scenarios and to guarantee the accuracy and reliability of the verification, a four-layer CAVs kinematic simulation framework, which is composed with road network layer, vehicle operating layer, uncertainties modelling layer and demonstrating layer, is proposed in this paper. Properties of the intersections are defined to describe the road network. A target position based vehicle position updating method is designed to simulate such vehicle behaviors as lane changing and turning. Vehicle kinematic models are implemented to maintain the status of the vehicles when they are moving towards the target position. Priorities for individual vehicle control are authorized for different layers. Operation mechanisms of CAVs uncertainties, which are defined as position error and communication delay in this paper, are implemented in the simulation to enhance the reality of the simulation. A simulation platform is developed based on the proposed methodology. A comparison of simulated and theoretical vehicle delay has been analyzed to prove the validity and the creditability of the platform. The scenario of rear-end collision avoidance is conducted to verify the uncertainties operating mechanisms, and a slot-based intersections (SIs) control strategy is realized and verified in the simulation platform to show the supports of the platform to CAVs kinematic simulation and verification.https://www.mdpi.com/1424-8220/17/9/1938connected and autonomous vehiclesroad network descriptionvehicle kinematic modelsuncertainties modellingapplication verificationsimulation platform
spellingShingle Linguo Chai
Baigen Cai
Wei ShangGuan
Jian Wang
Huashen Wang
Basic Simulation Environment for Highly Customized Connected and Autonomous Vehicle Kinematic Scenarios
Sensors
connected and autonomous vehicles
road network description
vehicle kinematic models
uncertainties modelling
application verification
simulation platform
title Basic Simulation Environment for Highly Customized Connected and Autonomous Vehicle Kinematic Scenarios
title_full Basic Simulation Environment for Highly Customized Connected and Autonomous Vehicle Kinematic Scenarios
title_fullStr Basic Simulation Environment for Highly Customized Connected and Autonomous Vehicle Kinematic Scenarios
title_full_unstemmed Basic Simulation Environment for Highly Customized Connected and Autonomous Vehicle Kinematic Scenarios
title_short Basic Simulation Environment for Highly Customized Connected and Autonomous Vehicle Kinematic Scenarios
title_sort basic simulation environment for highly customized connected and autonomous vehicle kinematic scenarios
topic connected and autonomous vehicles
road network description
vehicle kinematic models
uncertainties modelling
application verification
simulation platform
url https://www.mdpi.com/1424-8220/17/9/1938
work_keys_str_mv AT linguochai basicsimulationenvironmentforhighlycustomizedconnectedandautonomousvehiclekinematicscenarios
AT baigencai basicsimulationenvironmentforhighlycustomizedconnectedandautonomousvehiclekinematicscenarios
AT weishangguan basicsimulationenvironmentforhighlycustomizedconnectedandautonomousvehiclekinematicscenarios
AT jianwang basicsimulationenvironmentforhighlycustomizedconnectedandautonomousvehiclekinematicscenarios
AT huashenwang basicsimulationenvironmentforhighlycustomizedconnectedandautonomousvehiclekinematicscenarios