Pub Date : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8965231
Enrico Regolin, Massimo Zambelli, M. Vanzulli, A. Ferrara
In this paper a linear Model Predictive Control (MPC) based controller for the path tracking of a given trajectory is proposed, which generates suitable references for the dynamical vehicle states. The goal of the path tracking is to achieve good performance on slippery conditions. The equations describing the evolution of the path are linearized in order to obtain a suitable model, and linear constraints on the produced reference states are applied based on the prior knowledge of the reachable equilibrium states which characterize steady-state cornering. A previously proposed low-level LQR-ISM (Integral Sliding Mode) controller is exploited for reference tracking, where the ISM component is required in order to enhance the robustness with respect to the several approximations introduced by the linearized models. IPG-CarMaker, a high-fidelity vehicle dynamics simulation software, is used for the validation. The performance is verified on a wet asphalt track characterized by segments of different curvature, and compared against the CarMaker driver.
{"title":"A Path Tracking Approach for Autonomous Driving on Slippery Surfaces","authors":"Enrico Regolin, Massimo Zambelli, M. Vanzulli, A. Ferrara","doi":"10.1109/ICCVE45908.2019.8965231","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965231","url":null,"abstract":"In this paper a linear Model Predictive Control (MPC) based controller for the path tracking of a given trajectory is proposed, which generates suitable references for the dynamical vehicle states. The goal of the path tracking is to achieve good performance on slippery conditions. The equations describing the evolution of the path are linearized in order to obtain a suitable model, and linear constraints on the produced reference states are applied based on the prior knowledge of the reachable equilibrium states which characterize steady-state cornering. A previously proposed low-level LQR-ISM (Integral Sliding Mode) controller is exploited for reference tracking, where the ISM component is required in order to enhance the robustness with respect to the several approximations introduced by the linearized models. IPG-CarMaker, a high-fidelity vehicle dynamics simulation software, is used for the validation. The performance is verified on a wet asphalt track characterized by segments of different curvature, and compared against the CarMaker driver.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123010621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8964883
Wilfried Wöber, M. Aburaia, C. Olaverri-Monreal
Since the rise of deep artificial neuronal nets, object detection and classification became an autonomous procedure, where both, feature extraction and feature processing (e.g.: classification) is done using an architecture based on artificial neurons. The shortcomings of deep neuronal nets are mainly based the black box models and the architecture of the networks, which cannot be estimated. Unknown behavior and over-fitting is still an unsolved problem. Thus, human-made parameters like the number of neurons or the definition of activation functions must be set. This work presents a non-parametric and non-linear approach for image processing using latent variable models. We used Gaussian process latent variable models for street sign feature extraction, where a latent representation is estimated without prior knowledge such as class label. Based on the latent representation, we visualizes the features and use state-of-the-art classifier for street sign classification. Our results proves, that our approach extracts useful features for classification. Our approach has still shortcomings, such as computational time, which are current areas of research.
{"title":"Classification of Streetsigns Using Gaussian Process Latent Variable Models","authors":"Wilfried Wöber, M. Aburaia, C. Olaverri-Monreal","doi":"10.1109/ICCVE45908.2019.8964883","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8964883","url":null,"abstract":"Since the rise of deep artificial neuronal nets, object detection and classification became an autonomous procedure, where both, feature extraction and feature processing (e.g.: classification) is done using an architecture based on artificial neurons. The shortcomings of deep neuronal nets are mainly based the black box models and the architecture of the networks, which cannot be estimated. Unknown behavior and over-fitting is still an unsolved problem. Thus, human-made parameters like the number of neurons or the definition of activation functions must be set. This work presents a non-parametric and non-linear approach for image processing using latent variable models. We used Gaussian process latent variable models for street sign feature extraction, where a latent representation is estimated without prior knowledge such as class label. Based on the latent representation, we visualizes the features and use state-of-the-art classifier for street sign classification. Our results proves, that our approach extracts useful features for classification. Our approach has still shortcomings, such as computational time, which are current areas of research.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126887643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8965222
M. Lom, O. Přibyl
The main objective of this paper is to demonstrate a novel method for modeling smart cities and to introduce a use case study related to charging of electric vehicles. This use case is focusing on the research question: how many charging stations are needed to fulfill the dynamic demand for charging of electric vehicles. If electric vehicles become a mass product, it will be necessary to build many charging stations. On the other hand, the charging time will be significantly different from conventional cars and hardly as fast as conventional cars have (at least in the near future). In case of trucks, this will be even bigger difference. We can expect significant improvements in the speed of charging of batteries in the future. In this paper, we do not want to predict what will be the future, but rather demonstrate what will be the impact if we consider the number of charging stations, electric vehicles and charging time. This is a dynamic problem and the usage of a novel SMACEF framework using Multiagent systems is proposed as a suitable tool for this use case, as well as other smart city related problems.
{"title":"Modeling Charging of Electric Vehicles in Smart Cities: Charles Square Use Case","authors":"M. Lom, O. Přibyl","doi":"10.1109/ICCVE45908.2019.8965222","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965222","url":null,"abstract":"The main objective of this paper is to demonstrate a novel method for modeling smart cities and to introduce a use case study related to charging of electric vehicles. This use case is focusing on the research question: how many charging stations are needed to fulfill the dynamic demand for charging of electric vehicles. If electric vehicles become a mass product, it will be necessary to build many charging stations. On the other hand, the charging time will be significantly different from conventional cars and hardly as fast as conventional cars have (at least in the near future). In case of trucks, this will be even bigger difference. We can expect significant improvements in the speed of charging of batteries in the future. In this paper, we do not want to predict what will be the future, but rather demonstrate what will be the impact if we consider the number of charging stations, electric vehicles and charging time. This is a dynamic problem and the usage of a novel SMACEF framework using Multiagent systems is proposed as a suitable tool for this use case, as well as other smart city related problems.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"533 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116496115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8965056
Alexander Frötscher, Bernhard Monschiebl, A. Drosou, E. Gelenbe, M. Reed, M. Al-Naday
Cooperative Intelligent Transport Systems (C-ITS) need to be secured as it is deployed on roads in Europe. While some aspects of the communication security are secured others could still need improvement. SerIoT as a security project for the internet of things and offers various security mechanisms from the IoT domain which could be beneficial for C-ITS. Such security mechanisms contain a software defined network, the usage of honeypots and several mechanisms to analyze, monitor and mitigate threats on the system. Therefore C-ITS will benefit tremendously of the functionalities from these security mechanisms designed to cope with large attack surfaces and high network traffic found in IoT environments. To enable these technologies, modules developed within SerIoT are planned to be integrated into the Road Side ITS station. The station will also be connected to SerIoT SDN routers providing security for the station from malicious vehicles and the network
{"title":"Improve cybersecurity of C-ITS Road Side Infrastructure Installations: the SerIoT - Secure and Safe IoT approach","authors":"Alexander Frötscher, Bernhard Monschiebl, A. Drosou, E. Gelenbe, M. Reed, M. Al-Naday","doi":"10.1109/ICCVE45908.2019.8965056","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965056","url":null,"abstract":"Cooperative Intelligent Transport Systems (C-ITS) need to be secured as it is deployed on roads in Europe. While some aspects of the communication security are secured others could still need improvement. SerIoT as a security project for the internet of things and offers various security mechanisms from the IoT domain which could be beneficial for C-ITS. Such security mechanisms contain a software defined network, the usage of honeypots and several mechanisms to analyze, monitor and mitigate threats on the system. Therefore C-ITS will benefit tremendously of the functionalities from these security mechanisms designed to cope with large attack surfaces and high network traffic found in IoT environments. To enable these technologies, modules developed within SerIoT are planned to be integrated into the Road Side ITS station. The station will also be connected to SerIoT SDN routers providing security for the station from malicious vehicles and the network","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126995796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8965140
B. Altinel, Frank Wollenschläger, M. Hein
Automotive communication systems have become a hot topic in the research field, especially with a focus towards connected vehicles. The potential of connected and automated driving promises an enormous increase of road safety and traffic efficiency. With this purpose, dedicated short range communication standards (e.g. ITS-G5) have been developed. These standards share spectral resources among all communication partners, which necessitates an evaluation of in-band interference. As one potentially powerful evaluation approach, the road and radio environment can be emulated instead of being accessed through field-operational tests, with major advantages like repeatability and convenience aspects. This paper describes a testing framework that employs a virtual-drive test approach for the evaluation of the performance of ITS-G5 equipment. According to the concept of virtual-drive testing, the road and radio environments have been emulated with regards to a realworld drive track. Packet loss measurements are presented for the evaluation of interference effects present in the communication. The results indicate that the virtual-drive test approach is suitable for testing automotive communication systems.
{"title":"Interference Tests of ITS-G5 Vehicle-to-Vehicle Communication Networks with Virtual Drive Tests","authors":"B. Altinel, Frank Wollenschläger, M. Hein","doi":"10.1109/ICCVE45908.2019.8965140","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965140","url":null,"abstract":"Automotive communication systems have become a hot topic in the research field, especially with a focus towards connected vehicles. The potential of connected and automated driving promises an enormous increase of road safety and traffic efficiency. With this purpose, dedicated short range communication standards (e.g. ITS-G5) have been developed. These standards share spectral resources among all communication partners, which necessitates an evaluation of in-band interference. As one potentially powerful evaluation approach, the road and radio environment can be emulated instead of being accessed through field-operational tests, with major advantages like repeatability and convenience aspects. This paper describes a testing framework that employs a virtual-drive test approach for the evaluation of the performance of ITS-G5 equipment. According to the concept of virtual-drive testing, the road and radio environments have been emulated with regards to a realworld drive track. Packet loss measurements are presented for the evaluation of interference effects present in the communication. The results indicate that the virtual-drive test approach is suitable for testing automotive communication systems.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132736716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8965215
F. Morlock, O. Sawodny
Two major emerging fields of research in automotive engineering are autonomous driving and electromobility. The predictive or intelligent longitudinal control within the former and consumption forecasts for the latter are dependent on lookahead data provided by cloud based services as real time road and traffic data. Furthermore, these applications can be improved by customization to the driver. This paper proposes a simple, yet accurate parametric model for longitudinal driving characteristics which is designed for use in powertrain applications that could be a predictive, intelligent cruise controller or a personalized consumption forecast. A methodology for offline identification of the model parameters is presented that can be easily transferred to online implementation. The model is validated against measurement data and meaningful metrics for assessing its performance are introduced. It is shown that predicted speed yields good resemblance to measurements.
{"title":"A longitudinal driver model for long horizon speed prediction in powertrain applications","authors":"F. Morlock, O. Sawodny","doi":"10.1109/ICCVE45908.2019.8965215","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965215","url":null,"abstract":"Two major emerging fields of research in automotive engineering are autonomous driving and electromobility. The predictive or intelligent longitudinal control within the former and consumption forecasts for the latter are dependent on lookahead data provided by cloud based services as real time road and traffic data. Furthermore, these applications can be improved by customization to the driver. This paper proposes a simple, yet accurate parametric model for longitudinal driving characteristics which is designed for use in powertrain applications that could be a predictive, intelligent cruise controller or a personalized consumption forecast. A methodology for offline identification of the model parameters is presented that can be easily transferred to online implementation. The model is validated against measurement data and meaningful metrics for assessing its performance are introduced. It is shown that predicted speed yields good resemblance to measurements.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123706366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8965207
Venkata Ramani Shreya Yellapantula, K. Devika, S. Subramanian
Advanced Driver Assistance Systems in Heavy Commercial Road Vehicles are of increasing importance due to their high potential in reducing road accidents, where human error is the major contributor. A Vehicle-to-Vehicle communication-based Collision Avoidance Algorithm (CAA) can help in reducing these accidents by complementing the onboard sensors and applying brakes automatically upon detecting a threat. However, due to the wireless nature and dynamic topology of this communication network, packet loss is a major challenge for safety-related applications like collision avoidance. Hence, the effect of packet loss on the performance of CAA was investigated using a Hardware-in-Loop experimental platform in this paper. It was observed that the desired final spacing was maintained but, early braking was observed when the host vehicle followed the lead vehicle at close distances.
{"title":"Effect of Packet Loss on a Connected Heavy Vehicle Collision Avoidance Algorithm","authors":"Venkata Ramani Shreya Yellapantula, K. Devika, S. Subramanian","doi":"10.1109/ICCVE45908.2019.8965207","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965207","url":null,"abstract":"Advanced Driver Assistance Systems in Heavy Commercial Road Vehicles are of increasing importance due to their high potential in reducing road accidents, where human error is the major contributor. A Vehicle-to-Vehicle communication-based Collision Avoidance Algorithm (CAA) can help in reducing these accidents by complementing the onboard sensors and applying brakes automatically upon detecting a threat. However, due to the wireless nature and dynamic topology of this communication network, packet loss is a major challenge for safety-related applications like collision avoidance. Hence, the effect of packet loss on the performance of CAA was investigated using a Hardware-in-Loop experimental platform in this paper. It was observed that the desired final spacing was maintained but, early braking was observed when the host vehicle followed the lead vehicle at close distances.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122491753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8965229
Marco Viehweger, S. V. Aalst, F. Naets, W. Desmet
This paper disseminates the use of a coupled 1D simulation-estimation framework employed for multi-actuated ground vehicle tyre force virtual sensing. The forces generated in the tyre contact patches govern the vehicle motion and behaviour on the road. Therefore, they are highly relevant for Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) technologies, especially when it comes to ensuring vehicle stability and driving safety in extreme manoeuvres. However, some ADAS and AD features require accurate and robust estimation of additional vehicle dynamics related quantities. Thus, this paper proposes a framework for the consistent use of 1D vehicle models of different complexity together with state-of-the-art estimation techniques to enable joint state, disturbance, parameter (SDP) estimation.
{"title":"Multi-actuated ground vehicle tyre force estimation through a coupled 1D simulation-estimation framework","authors":"Marco Viehweger, S. V. Aalst, F. Naets, W. Desmet","doi":"10.1109/ICCVE45908.2019.8965229","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965229","url":null,"abstract":"This paper disseminates the use of a coupled 1D simulation-estimation framework employed for multi-actuated ground vehicle tyre force virtual sensing. The forces generated in the tyre contact patches govern the vehicle motion and behaviour on the road. Therefore, they are highly relevant for Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) technologies, especially when it comes to ensuring vehicle stability and driving safety in extreme manoeuvres. However, some ADAS and AD features require accurate and robust estimation of additional vehicle dynamics related quantities. Thus, this paper proposes a framework for the consistent use of 1D vehicle models of different complexity together with state-of-the-art estimation techniques to enable joint state, disturbance, parameter (SDP) estimation.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114478557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8965225
Selim Solmaz, F. Holzinger
Development of Advanced Driver Assistance (ADAS) Systems and Automated Driving (AD) technologies require extensive calibration, testing and validation before such systems can be rolled out into the production line. It is in the interest of the OEMs to speed up these development cycles to ensure compliance with the expected performance requirements. In this paper, a novel steerable chassis dynamometer test bench with a corresponding methodology is introduced to develop and test ADAS/AD technologies. A use case example of tuning the camera-based implementations of the lane keeping assistant (LKA) and adaptive cruise control (ACC) functions on an AD demonstrator vehicle utilizing this test bench is described with preliminary performance results.
{"title":"A Novel Testbench for Development, Calibration and Functional Testing of ADAS/AD Functions","authors":"Selim Solmaz, F. Holzinger","doi":"10.1109/ICCVE45908.2019.8965225","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965225","url":null,"abstract":"Development of Advanced Driver Assistance (ADAS) Systems and Automated Driving (AD) technologies require extensive calibration, testing and validation before such systems can be rolled out into the production line. It is in the interest of the OEMs to speed up these development cycles to ensure compliance with the expected performance requirements. In this paper, a novel steerable chassis dynamometer test bench with a corresponding methodology is introduced to develop and test ADAS/AD technologies. A use case example of tuning the camera-based implementations of the lane keeping assistant (LKA) and adaptive cruise control (ACC) functions on an AD demonstrator vehicle utilizing this test bench is described with preliminary performance results.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126849926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8965065
Mohamed Berrazouane, Kailin Tong, Selim Solmaz, Martijn Kiers, Jacqueline Erhart
Understanding the effects of having automated vehicles in the future traffic scenarios is an important research topic that attracts a great deal of attention currently. The difficulty in studying this problem is the fact that real life measurement and testing of these scenarios can not be made as there are still a very small fraction of automated vehicles in the traffic. So analyzing and understanding the effects of mixed traffic requires extensive simulative analysis. In this paper we analyze this problem using real traffic data in combination with the open-source SUMO traffic simulation software. The traffic flow is modeled based on the measurement data from a section of the Austrian A2 motorway, while the effects of automated vehicles at various penetration rates is simulated and consequently some observation are made.
{"title":"Analysis and Initial Observations on Varying Penetration Rates of Automated Vehicles in Mixed Traffic Flow utilizing SUMO","authors":"Mohamed Berrazouane, Kailin Tong, Selim Solmaz, Martijn Kiers, Jacqueline Erhart","doi":"10.1109/ICCVE45908.2019.8965065","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965065","url":null,"abstract":"Understanding the effects of having automated vehicles in the future traffic scenarios is an important research topic that attracts a great deal of attention currently. The difficulty in studying this problem is the fact that real life measurement and testing of these scenarios can not be made as there are still a very small fraction of automated vehicles in the traffic. So analyzing and understanding the effects of mixed traffic requires extensive simulative analysis. In this paper we analyze this problem using real traffic data in combination with the open-source SUMO traffic simulation software. The traffic flow is modeled based on the measurement data from a section of the Austrian A2 motorway, while the effects of automated vehicles at various penetration rates is simulated and consequently some observation are made.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125717895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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