Network effects in C-ITS – an analysis approach based on conditional probability and system characteristics
Abstract The paper presents an approach for analysing network effects in cooperative intelligent transport systems (C-ITS). The approach is based on the conditional probability of an already-equipped user receiving a warning or other required information, and a framework is provided for analysing th...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-12-01
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| Series: | European Transport Research Review |
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| Online Access: | https://doi.org/10.1186/s12544-024-00694-6 |
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| _version_ | 1846101517936885760 |
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| author | Risto Öörni |
| author_facet | Risto Öörni |
| author_sort | Risto Öörni |
| collection | DOAJ |
| description | Abstract The paper presents an approach for analysing network effects in cooperative intelligent transport systems (C-ITS). The approach is based on the conditional probability of an already-equipped user receiving a warning or other required information, and a framework is provided for analysing the conditional probability of a successful exchange of information. The approach and the framework are validated by applying them to the road hazard warning use case of C-ITS implemented with vehicle-to-vehicle (V2V) communication. The results suggest that even relatively low fleet penetrations may allow communicating a road hazard warning as a decentralized environmental notification message (DENM), with a high probability of success, when the hazard is detected and the related DENM transmitted by an oncoming vehicle travelling in the opposite direction to the user’s vehicle on a single-carriageway interurban road. The approach used in the paper and the analysis results for the road hazard warning contribute to the understanding of network effects in C-ITS use cases and their relationship to the operational context of C-ITS systems, such as parameters related to traffic flow. |
| format | Article |
| id | doaj-art-db711e203ea74eccb7804d60b6574516 |
| institution | Kabale University |
| issn | 1866-8887 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | European Transport Research Review |
| spelling | doaj-art-db711e203ea74eccb7804d60b65745162024-12-29T12:08:50ZengSpringerOpenEuropean Transport Research Review1866-88872024-12-0116111210.1186/s12544-024-00694-6Network effects in C-ITS – an analysis approach based on conditional probability and system characteristicsRisto Öörni0VTT Technical Research Centre of FinlandAbstract The paper presents an approach for analysing network effects in cooperative intelligent transport systems (C-ITS). The approach is based on the conditional probability of an already-equipped user receiving a warning or other required information, and a framework is provided for analysing the conditional probability of a successful exchange of information. The approach and the framework are validated by applying them to the road hazard warning use case of C-ITS implemented with vehicle-to-vehicle (V2V) communication. The results suggest that even relatively low fleet penetrations may allow communicating a road hazard warning as a decentralized environmental notification message (DENM), with a high probability of success, when the hazard is detected and the related DENM transmitted by an oncoming vehicle travelling in the opposite direction to the user’s vehicle on a single-carriageway interurban road. The approach used in the paper and the analysis results for the road hazard warning contribute to the understanding of network effects in C-ITS use cases and their relationship to the operational context of C-ITS systems, such as parameters related to traffic flow.https://doi.org/10.1186/s12544-024-00694-6C-ITSNetwork effectsConditional probability |
| spellingShingle | Risto Öörni Network effects in C-ITS – an analysis approach based on conditional probability and system characteristics European Transport Research Review C-ITS Network effects Conditional probability |
| title | Network effects in C-ITS – an analysis approach based on conditional probability and system characteristics |
| title_full | Network effects in C-ITS – an analysis approach based on conditional probability and system characteristics |
| title_fullStr | Network effects in C-ITS – an analysis approach based on conditional probability and system characteristics |
| title_full_unstemmed | Network effects in C-ITS – an analysis approach based on conditional probability and system characteristics |
| title_short | Network effects in C-ITS – an analysis approach based on conditional probability and system characteristics |
| title_sort | network effects in c its an analysis approach based on conditional probability and system characteristics |
| topic | C-ITS Network effects Conditional probability |
| url | https://doi.org/10.1186/s12544-024-00694-6 |
| work_keys_str_mv | AT ristooorni networkeffectsincitsananalysisapproachbasedonconditionalprobabilityandsystemcharacteristics |