Component-Based Interactive Framework for Intelligent Transportation Cyber-Physical Systems
While emerging technology for self-driving automation in vehicles progresses rapidly, the transition to an era of roads full of fully connected and automated vehicles (CAVs) may take longer than expected. Until then, it is inevitable that CAVs should coexist and interact with drivers of non-autonomo...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/1/264 |
| _version_ | 1811301819600601088 |
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| author | Sangsoo Jeong Youngmi Baek Sang H. Son |
| author_facet | Sangsoo Jeong Youngmi Baek Sang H. Son |
| author_sort | Sangsoo Jeong |
| collection | DOAJ |
| description | While emerging technology for self-driving automation in vehicles progresses rapidly, the transition to an era of roads full of fully connected and automated vehicles (CAVs) may take longer than expected. Until then, it is inevitable that CAVs should coexist and interact with drivers of non-autonomous vehicles (NAVs) in urban roads. During this period of transition, it is critical to provide road safety with the mixed vehicular traffic and uncertainty caused by human drivers. To investigate the issues caused by the coexistence and interaction with humans, we propose to build a component-based and interactive intelligent transportation cyber-physical systems (ITCPS) framework. Our design of the interactive ITCPS framework aims to provide a standardized structure for users by defining core components. The framework is specified by behavior models and interfaces for the desired ITCPS components and is implemented as a form of human and hardware-in-the-loop system. We developed an intersection crossing assistance service and an automatic emergency braking service as an example of practical applications using the framework. To evaluate the framework, we tested its performance to show how effectively it operates while supporting real-time processing. The results indicate that it satisfies the timing requirements of vehicle-to-vehicle (V2V) communication and the limited processing time required for performing the functions of behavior models, even though the traffic volume reaches the road capacity. A case study using statistical analysis is conducted to assess the practical value of the developed experimental environment. The results of the case study validate the reliability among the specified variables for the experiments involving human drivers. It has shown that V2V communication support has positive effects on road safety, including intersection safety, braking events, and perception-reaction time (PRT) of the drivers. Furthermore, V2V communication support and PRT are identified as the important indicators affecting road safety at an un-signalized intersection. The proposed interactive framework is expected to contribute in constructing a comprehensive environment for the urban ITCPS and providing experimental support for the analysis of human behavior in the coexistence environment. |
| first_indexed | 2024-04-13T07:16:44Z |
| format | Article |
| id | doaj.art-66e9f540f40f4b059437ac153f020b06 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:16:44Z |
| publishDate | 2020-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-66e9f540f40f4b059437ac153f020b062022-12-22T02:56:44ZengMDPI AGSensors1424-82202020-01-0120126410.3390/s20010264s20010264Component-Based Interactive Framework for Intelligent Transportation Cyber-Physical SystemsSangsoo Jeong0Youngmi Baek1Sang H. Son2Information and Communication Engineering, DGIST, Daegu 42988, KoreaInformation and Communication Engineering, DGIST, Daegu 42988, KoreaInformation and Communication Engineering, DGIST, Daegu 42988, KoreaWhile emerging technology for self-driving automation in vehicles progresses rapidly, the transition to an era of roads full of fully connected and automated vehicles (CAVs) may take longer than expected. Until then, it is inevitable that CAVs should coexist and interact with drivers of non-autonomous vehicles (NAVs) in urban roads. During this period of transition, it is critical to provide road safety with the mixed vehicular traffic and uncertainty caused by human drivers. To investigate the issues caused by the coexistence and interaction with humans, we propose to build a component-based and interactive intelligent transportation cyber-physical systems (ITCPS) framework. Our design of the interactive ITCPS framework aims to provide a standardized structure for users by defining core components. The framework is specified by behavior models and interfaces for the desired ITCPS components and is implemented as a form of human and hardware-in-the-loop system. We developed an intersection crossing assistance service and an automatic emergency braking service as an example of practical applications using the framework. To evaluate the framework, we tested its performance to show how effectively it operates while supporting real-time processing. The results indicate that it satisfies the timing requirements of vehicle-to-vehicle (V2V) communication and the limited processing time required for performing the functions of behavior models, even though the traffic volume reaches the road capacity. A case study using statistical analysis is conducted to assess the practical value of the developed experimental environment. The results of the case study validate the reliability among the specified variables for the experiments involving human drivers. It has shown that V2V communication support has positive effects on road safety, including intersection safety, braking events, and perception-reaction time (PRT) of the drivers. Furthermore, V2V communication support and PRT are identified as the important indicators affecting road safety at an un-signalized intersection. The proposed interactive framework is expected to contribute in constructing a comprehensive environment for the urban ITCPS and providing experimental support for the analysis of human behavior in the coexistence environment.https://www.mdpi.com/1424-8220/20/1/264cyber-physical systemsframeworkinteractioncoexistencebehavior modelhuman and hardware in the loop system |
| spellingShingle | Sangsoo Jeong Youngmi Baek Sang H. Son Component-Based Interactive Framework for Intelligent Transportation Cyber-Physical Systems Sensors cyber-physical systems framework interaction coexistence behavior model human and hardware in the loop system |
| title | Component-Based Interactive Framework for Intelligent Transportation Cyber-Physical Systems |
| title_full | Component-Based Interactive Framework for Intelligent Transportation Cyber-Physical Systems |
| title_fullStr | Component-Based Interactive Framework for Intelligent Transportation Cyber-Physical Systems |
| title_full_unstemmed | Component-Based Interactive Framework for Intelligent Transportation Cyber-Physical Systems |
| title_short | Component-Based Interactive Framework for Intelligent Transportation Cyber-Physical Systems |
| title_sort | component based interactive framework for intelligent transportation cyber physical systems |
| topic | cyber-physical systems framework interaction coexistence behavior model human and hardware in the loop system |
| url | https://www.mdpi.com/1424-8220/20/1/264 |
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