A Novel Approach for Mixed Manual/Connected Automated Freeway Traffic Management
Freeway traffic management and control often rely on input from fixed-point sensors. A sufficiently high sensor density is required to ensure data reliability and accuracy, which results in high installation and maintenance costs. Moreover, fixed-point sensors encounter difficulties to provide spati...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/6/1757 |
| _version_ | 1811300413300801536 |
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| author | Duo Li Peter Wagner |
| author_facet | Duo Li Peter Wagner |
| author_sort | Duo Li |
| collection | DOAJ |
| description | Freeway traffic management and control often rely on input from fixed-point sensors. A sufficiently high sensor density is required to ensure data reliability and accuracy, which results in high installation and maintenance costs. Moreover, fixed-point sensors encounter difficulties to provide spatiotemporally and wide-ranging information due to the limited observable area. This research exploits the utilization of connected automated vehicles (CAVs) as an alternative data source for freeway traffic management. To handle inherent uncertainty associated with CAV data, we develop an interval type 2 fuzzy logic-based variable speed limit (VSL) system for mixed traffic. The simulation results demonstrate that when more 10% CAVs are deployed, the performance of the proposed CAV-based system can approach that of the detector-based system. It is demonstrated in addition that the introduction of CAVs may make VSL obsolete at very high CAV-equipment rates. |
| first_indexed | 2024-04-13T06:51:50Z |
| format | Article |
| id | doaj.art-ee02a562b6744d1290a3a46953c3b09a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T06:51:50Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-ee02a562b6744d1290a3a46953c3b09a2022-12-22T02:57:24ZengMDPI AGSensors1424-82202020-03-01206175710.3390/s20061757s20061757A Novel Approach for Mixed Manual/Connected Automated Freeway Traffic ManagementDuo Li0Peter Wagner1School of Highway, Chang’an University, Xi’an 710064, ChinaInstitute of Transport Systems, German Aerospace Center (DLR), 12489 Berlin, GermanyFreeway traffic management and control often rely on input from fixed-point sensors. A sufficiently high sensor density is required to ensure data reliability and accuracy, which results in high installation and maintenance costs. Moreover, fixed-point sensors encounter difficulties to provide spatiotemporally and wide-ranging information due to the limited observable area. This research exploits the utilization of connected automated vehicles (CAVs) as an alternative data source for freeway traffic management. To handle inherent uncertainty associated with CAV data, we develop an interval type 2 fuzzy logic-based variable speed limit (VSL) system for mixed traffic. The simulation results demonstrate that when more 10% CAVs are deployed, the performance of the proposed CAV-based system can approach that of the detector-based system. It is demonstrated in addition that the introduction of CAVs may make VSL obsolete at very high CAV-equipment rates.https://www.mdpi.com/1424-8220/20/6/1757connected vehiclefreeway traffic controltype-2 fuzzy logic |
| spellingShingle | Duo Li Peter Wagner A Novel Approach for Mixed Manual/Connected Automated Freeway Traffic Management Sensors connected vehicle freeway traffic control type-2 fuzzy logic |
| title | A Novel Approach for Mixed Manual/Connected Automated Freeway Traffic Management |
| title_full | A Novel Approach for Mixed Manual/Connected Automated Freeway Traffic Management |
| title_fullStr | A Novel Approach for Mixed Manual/Connected Automated Freeway Traffic Management |
| title_full_unstemmed | A Novel Approach for Mixed Manual/Connected Automated Freeway Traffic Management |
| title_short | A Novel Approach for Mixed Manual/Connected Automated Freeway Traffic Management |
| title_sort | novel approach for mixed manual connected automated freeway traffic management |
| topic | connected vehicle freeway traffic control type-2 fuzzy logic |
| url | https://www.mdpi.com/1424-8220/20/6/1757 |
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