The Effects of Vehicle-to-Infrastructure Communication Reliability on Performance of Signalized Intersection Traffic Control
Vehicle-to-infrastructure communications can inform an intersection controller about the location and speed of connected vehicles. Recently, the design of adaptive intersection control algorithms that utilize this information received substantial research attention. These studies typically assume pe...
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Veröffentlicht in: | IEEE transactions on intelligent transportation systems 2022-09, Vol.23 (9), p.15450-15461 |
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creator | Finkelberg, Ilya Petrov, Tibor Gal-Tzur, Ayelet Zarkhin, Nina Pocta, Peter Kovacikova, Tatiana Buzna, L'ubos Dado, Milan Toledo, Tomer |
description | Vehicle-to-infrastructure communications can inform an intersection controller about the location and speed of connected vehicles. Recently, the design of adaptive intersection control algorithms that utilize this information received substantial research attention. These studies typically assume perfect communications. This study explores the possible effects of a temporal decrease in the reliability of the communication channel, on the intersection throughput. Road traffic and DSRC-VANET communications are modelled by integrating traffic and communication simulation tools (Vissim and OMNeT++, respectively). Simulations of scenarios with challenging, but realistic communication distortions conditions show significantly larger average delays to vehicles compared to scenarios with perfect communication conditions. These additional delays are largely independent of whether all or only some of the intersection approaches are affected by the communication distortions. Furthermore, delays do not increase uniformly on all signal groups. They may even decrease for some, which causes unfair allocation of green times. The control may be corrected for the lost communications using the information received in previous time intervals and simple assumptions about the vehicle movements. This correction decreases delays in all scenarios both for isolated and connected intersections. It performs similarly to the case with perfect communications when the communication distortions are distributed uniformly among all intersection approaches. Overall, the results demonstrate that the impact of the communication distortions should be considered in the design of the adaptive intersection control algorithms. |
doi_str_mv | 10.1109/TITS.2022.3140767 |
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Recently, the design of adaptive intersection control algorithms that utilize this information received substantial research attention. These studies typically assume perfect communications. This study explores the possible effects of a temporal decrease in the reliability of the communication channel, on the intersection throughput. Road traffic and DSRC-VANET communications are modelled by integrating traffic and communication simulation tools (Vissim and OMNeT++, respectively). Simulations of scenarios with challenging, but realistic communication distortions conditions show significantly larger average delays to vehicles compared to scenarios with perfect communication conditions. These additional delays are largely independent of whether all or only some of the intersection approaches are affected by the communication distortions. Furthermore, delays do not increase uniformly on all signal groups. They may even decrease for some, which causes unfair allocation of green times. The control may be corrected for the lost communications using the information received in previous time intervals and simple assumptions about the vehicle movements. This correction decreases delays in all scenarios both for isolated and connected intersections. It performs similarly to the case with perfect communications when the communication distortions are distributed uniformly among all intersection approaches. Overall, the results demonstrate that the impact of the communication distortions should be considered in the design of the adaptive intersection control algorithms.</description><identifier>ISSN: 1524-9050</identifier><identifier>EISSN: 1558-0016</identifier><identifier>DOI: 10.1109/TITS.2022.3140767</identifier><identifier>CODEN: ITISFG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Adaptive algorithms ; Adaptive control ; Cams ; Communication ; Communication distortions ; Communication networks ; Communications traffic ; Control algorithms ; Data models ; Delays ; Distortion ; Integrated circuit modeling ; reconstruction of incomplete communication ; Reliability ; Reliability engineering ; signalized intersection control ; Traffic ; Traffic control ; Traffic engineering ; Traffic intersections ; Traffic models ; vehicle delays ; Vehicle-to-infrastructure ; vehicle-to-infrastructure connectivity ; Vehicles</subject><ispartof>IEEE transactions on intelligent transportation systems, 2022-09, Vol.23 (9), p.15450-15461</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-e28961f36ea52624c15932a2ec30df34401ec77b9a5d359d7abd3a93f4f6c673</citedby><cites>FETCH-LOGICAL-c293t-e28961f36ea52624c15932a2ec30df34401ec77b9a5d359d7abd3a93f4f6c673</cites><orcidid>0000-0002-4464-2756 ; 0000-0002-2507-1337 ; 0000-0002-5410-6762 ; 0000-0002-6682-7911 ; 0000-0002-6226-9422 ; 0000-0001-6791-1325 ; 0000-0003-3611-6024</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9681202$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9681202$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Finkelberg, Ilya</creatorcontrib><creatorcontrib>Petrov, Tibor</creatorcontrib><creatorcontrib>Gal-Tzur, Ayelet</creatorcontrib><creatorcontrib>Zarkhin, Nina</creatorcontrib><creatorcontrib>Pocta, Peter</creatorcontrib><creatorcontrib>Kovacikova, Tatiana</creatorcontrib><creatorcontrib>Buzna, L'ubos</creatorcontrib><creatorcontrib>Dado, Milan</creatorcontrib><creatorcontrib>Toledo, Tomer</creatorcontrib><title>The Effects of Vehicle-to-Infrastructure Communication Reliability on Performance of Signalized Intersection Traffic Control</title><title>IEEE transactions on intelligent transportation systems</title><addtitle>TITS</addtitle><description>Vehicle-to-infrastructure communications can inform an intersection controller about the location and speed of connected vehicles. Recently, the design of adaptive intersection control algorithms that utilize this information received substantial research attention. These studies typically assume perfect communications. This study explores the possible effects of a temporal decrease in the reliability of the communication channel, on the intersection throughput. Road traffic and DSRC-VANET communications are modelled by integrating traffic and communication simulation tools (Vissim and OMNeT++, respectively). Simulations of scenarios with challenging, but realistic communication distortions conditions show significantly larger average delays to vehicles compared to scenarios with perfect communication conditions. These additional delays are largely independent of whether all or only some of the intersection approaches are affected by the communication distortions. Furthermore, delays do not increase uniformly on all signal groups. They may even decrease for some, which causes unfair allocation of green times. The control may be corrected for the lost communications using the information received in previous time intervals and simple assumptions about the vehicle movements. This correction decreases delays in all scenarios both for isolated and connected intersections. It performs similarly to the case with perfect communications when the communication distortions are distributed uniformly among all intersection approaches. Overall, the results demonstrate that the impact of the communication distortions should be considered in the design of the adaptive intersection control algorithms.</description><subject>Adaptive algorithms</subject><subject>Adaptive control</subject><subject>Cams</subject><subject>Communication</subject><subject>Communication distortions</subject><subject>Communication networks</subject><subject>Communications traffic</subject><subject>Control algorithms</subject><subject>Data models</subject><subject>Delays</subject><subject>Distortion</subject><subject>Integrated circuit modeling</subject><subject>reconstruction of incomplete communication</subject><subject>Reliability</subject><subject>Reliability engineering</subject><subject>signalized intersection control</subject><subject>Traffic</subject><subject>Traffic control</subject><subject>Traffic engineering</subject><subject>Traffic intersections</subject><subject>Traffic models</subject><subject>vehicle delays</subject><subject>Vehicle-to-infrastructure</subject><subject>vehicle-to-infrastructure connectivity</subject><subject>Vehicles</subject><issn>1524-9050</issn><issn>1558-0016</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kF1LwzAUhoMoOKc_QLwpeN2Zj6ZtLmVMLQwUV7wtWXriMtpmJumF4o83ZcOrkxOe9-HwInRL8IIQLB7qqt4sKKZ0wUiGi7w4QzPCeZliTPLz6U2zVGCOL9GV9_v4m3FCZui33kGy0hpU8InVyQfsjOogDTatBu2kD25UYXSQLG3fj4NRMhg7JO_QGbk1nQnfSVzfwGnrejkomCwb8znIzvxAm1RDAOejfkrVTmptVHQNwdnuGl1o2Xm4Oc05qp9W9fIlXb8-V8vHdaqoYCEFWoqcaJaD5DSnmSJcMCopKIZbzbIME1BFsRWSt4yLtpDblknBdKZzlRdsju6P2oOzXyP40Ozt6OKBvqEFyQTGZckjRY6UctZ7B7o5ONNL990Q3EwdN1PHzdRxc-o4Zu6OGQMA_7zISxIx9gcooHoP</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Finkelberg, Ilya</creator><creator>Petrov, Tibor</creator><creator>Gal-Tzur, Ayelet</creator><creator>Zarkhin, Nina</creator><creator>Pocta, Peter</creator><creator>Kovacikova, Tatiana</creator><creator>Buzna, L'ubos</creator><creator>Dado, Milan</creator><creator>Toledo, Tomer</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Recently, the design of adaptive intersection control algorithms that utilize this information received substantial research attention. These studies typically assume perfect communications. This study explores the possible effects of a temporal decrease in the reliability of the communication channel, on the intersection throughput. Road traffic and DSRC-VANET communications are modelled by integrating traffic and communication simulation tools (Vissim and OMNeT++, respectively). Simulations of scenarios with challenging, but realistic communication distortions conditions show significantly larger average delays to vehicles compared to scenarios with perfect communication conditions. These additional delays are largely independent of whether all or only some of the intersection approaches are affected by the communication distortions. Furthermore, delays do not increase uniformly on all signal groups. They may even decrease for some, which causes unfair allocation of green times. The control may be corrected for the lost communications using the information received in previous time intervals and simple assumptions about the vehicle movements. This correction decreases delays in all scenarios both for isolated and connected intersections. It performs similarly to the case with perfect communications when the communication distortions are distributed uniformly among all intersection approaches. Overall, the results demonstrate that the impact of the communication distortions should be considered in the design of the adaptive intersection control algorithms.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TITS.2022.3140767</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-4464-2756</orcidid><orcidid>https://orcid.org/0000-0002-2507-1337</orcidid><orcidid>https://orcid.org/0000-0002-5410-6762</orcidid><orcidid>https://orcid.org/0000-0002-6682-7911</orcidid><orcidid>https://orcid.org/0000-0002-6226-9422</orcidid><orcidid>https://orcid.org/0000-0001-6791-1325</orcidid><orcidid>https://orcid.org/0000-0003-3611-6024</orcidid></addata></record> |
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subjects | Adaptive algorithms Adaptive control Cams Communication Communication distortions Communication networks Communications traffic Control algorithms Data models Delays Distortion Integrated circuit modeling reconstruction of incomplete communication Reliability Reliability engineering signalized intersection control Traffic Traffic control Traffic engineering Traffic intersections Traffic models vehicle delays Vehicle-to-infrastructure vehicle-to-infrastructure connectivity Vehicles |
title | The Effects of Vehicle-to-Infrastructure Communication Reliability on Performance of Signalized Intersection Traffic Control |
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