Shockwave-Based Automated Vehicle Longitudinal Control Algorithm for Nonrecurrent Congestion Mitigation
A shockwave-based speed harmonization algorithm for the longitudinal movement of automated vehicles is presented in this paper. In the advent of Connected/Automated Vehicle (C/AV) environment, the proposed algorithm can be applied to capture instantaneous shockwaves constructed from vehicular speed...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2017/6568135 |
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| _version_ | 1832552344549588992 |
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| author | Liuhui Zhao Joyoung Lee Steven Chien Cheol Oh |
| author_facet | Liuhui Zhao Joyoung Lee Steven Chien Cheol Oh |
| author_sort | Liuhui Zhao |
| collection | DOAJ |
| description | A shockwave-based speed harmonization algorithm for the longitudinal movement of automated vehicles is presented in this paper. In the advent of Connected/Automated Vehicle (C/AV) environment, the proposed algorithm can be applied to capture instantaneous shockwaves constructed from vehicular speed profiles shared by individual equipped vehicles. With a continuous wavelet transform (CWT) method, the algorithm detects abnormal speed drops in real-time and optimizes speed to prevent the shockwave propagating to the upstream traffic. A traffic simulation model is calibrated to evaluate the applicability and efficiency of the proposed algorithm. Based on 100% C/AV market penetration, the simulation results show that the CWT-based algorithm accurately detects abnormal speed drops. With the improved accuracy of abnormal speed drop detection, the simulation results also demonstrate that the congestion can be mitigated by reducing travel time and delay up to approximately 9% and 18%, respectively. It is also found that the shockwave caused by nonrecurrent congestion is quickly dissipated even with low market penetration. |
| format | Article |
| id | doaj-art-266d8ada2bc24938862b284e699fcf3a |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-266d8ada2bc24938862b284e699fcf3a2025-02-03T05:58:54ZengWileyJournal of Advanced Transportation0197-67292042-31952017-01-01201710.1155/2017/65681356568135Shockwave-Based Automated Vehicle Longitudinal Control Algorithm for Nonrecurrent Congestion MitigationLiuhui Zhao0Joyoung Lee1Steven Chien2Cheol Oh3Greenman-Pedersen, Inc., 21 W 38th St, New York, NY 10018, USAJohn A. Reif, Jr. Department of Civil and Environmental Engineering, New Jersey Institute of Technology, 17 Summit Street, Newark, NJ 07102, USAJohn A. Reif, Jr. Department of Civil and Environmental Engineering, New Jersey Institute of Technology, 17 Summit Street, Newark, NJ 07102, USADepartment of Transportation and Logistics Engineering, Hanyang University at Ansan, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan-si, Gyeonggi-do 426-791, Republic of KoreaA shockwave-based speed harmonization algorithm for the longitudinal movement of automated vehicles is presented in this paper. In the advent of Connected/Automated Vehicle (C/AV) environment, the proposed algorithm can be applied to capture instantaneous shockwaves constructed from vehicular speed profiles shared by individual equipped vehicles. With a continuous wavelet transform (CWT) method, the algorithm detects abnormal speed drops in real-time and optimizes speed to prevent the shockwave propagating to the upstream traffic. A traffic simulation model is calibrated to evaluate the applicability and efficiency of the proposed algorithm. Based on 100% C/AV market penetration, the simulation results show that the CWT-based algorithm accurately detects abnormal speed drops. With the improved accuracy of abnormal speed drop detection, the simulation results also demonstrate that the congestion can be mitigated by reducing travel time and delay up to approximately 9% and 18%, respectively. It is also found that the shockwave caused by nonrecurrent congestion is quickly dissipated even with low market penetration.http://dx.doi.org/10.1155/2017/6568135 |
| spellingShingle | Liuhui Zhao Joyoung Lee Steven Chien Cheol Oh Shockwave-Based Automated Vehicle Longitudinal Control Algorithm for Nonrecurrent Congestion Mitigation Journal of Advanced Transportation |
| title | Shockwave-Based Automated Vehicle Longitudinal Control Algorithm for Nonrecurrent Congestion Mitigation |
| title_full | Shockwave-Based Automated Vehicle Longitudinal Control Algorithm for Nonrecurrent Congestion Mitigation |
| title_fullStr | Shockwave-Based Automated Vehicle Longitudinal Control Algorithm for Nonrecurrent Congestion Mitigation |
| title_full_unstemmed | Shockwave-Based Automated Vehicle Longitudinal Control Algorithm for Nonrecurrent Congestion Mitigation |
| title_short | Shockwave-Based Automated Vehicle Longitudinal Control Algorithm for Nonrecurrent Congestion Mitigation |
| title_sort | shockwave based automated vehicle longitudinal control algorithm for nonrecurrent congestion mitigation |
| url | http://dx.doi.org/10.1155/2017/6568135 |
| work_keys_str_mv | AT liuhuizhao shockwavebasedautomatedvehiclelongitudinalcontrolalgorithmfornonrecurrentcongestionmitigation AT joyounglee shockwavebasedautomatedvehiclelongitudinalcontrolalgorithmfornonrecurrentcongestionmitigation AT stevenchien shockwavebasedautomatedvehiclelongitudinalcontrolalgorithmfornonrecurrentcongestionmitigation AT cheoloh shockwavebasedautomatedvehiclelongitudinalcontrolalgorithmfornonrecurrentcongestionmitigation |