A data-driven bi-level program for knowledge-based signal control system under uncertainty
•A data-driven knowledge system (DDKS) for traffic signal control is presented.•A data-driven bi-level program (DDBP) is proposed.•A knowledge based two-stage approach is proposed to effectively solve DDBP.•Numerical computations using real-data city road network are made with recent state-of-the-ar...
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| Vydáno v: | Knowledge-based systems Ročník 160; s. 210 - 227 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Amsterdam
Elsevier B.V
15.11.2018
Elsevier Science Ltd |
| Témata: | |
| ISSN: | 0950-7051, 1872-7409 |
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| Abstract | •A data-driven knowledge system (DDKS) for traffic signal control is presented.•A data-driven bi-level program (DDBP) is proposed.•A knowledge based two-stage approach is proposed to effectively solve DDBP.•Numerical computations using real-data city road network are made with recent state-of-the-art robust signal controls.
A data-driven knowledge based system (DDKS) is considered for urban signal control with hazardous material (hazmat) transportation. A data-driven bi-level program (DDBP) is presented to determine generalized travel cost for hazmat carriers and regular traffic flows. A risk-averse (RA) signal control is developed for DDKS with uncertain risk in the presence of hazmat transportation. Since DDBP is generally non-convex, a stochastic program using two-stage approach is proposed to find local optimal solutions. Numerical computations using a real-data city network are made and good results are obtained. As compared with conventional signal controls such as delay-minimizing (DM) and risk-neutral (RN) signal control, the proposed RA exhibits considerable advantage on mitigation of public risk exposure whilst incurred less cost loss as compared to other data-driven alternatives in all cases. |
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| AbstractList | •A data-driven knowledge system (DDKS) for traffic signal control is presented.•A data-driven bi-level program (DDBP) is proposed.•A knowledge based two-stage approach is proposed to effectively solve DDBP.•Numerical computations using real-data city road network are made with recent state-of-the-art robust signal controls.
A data-driven knowledge based system (DDKS) is considered for urban signal control with hazardous material (hazmat) transportation. A data-driven bi-level program (DDBP) is presented to determine generalized travel cost for hazmat carriers and regular traffic flows. A risk-averse (RA) signal control is developed for DDKS with uncertain risk in the presence of hazmat transportation. Since DDBP is generally non-convex, a stochastic program using two-stage approach is proposed to find local optimal solutions. Numerical computations using a real-data city network are made and good results are obtained. As compared with conventional signal controls such as delay-minimizing (DM) and risk-neutral (RN) signal control, the proposed RA exhibits considerable advantage on mitigation of public risk exposure whilst incurred less cost loss as compared to other data-driven alternatives in all cases. A data-driven knowledge based system (DDKS) is considered for urban signal control with hazardous material (hazmat) transportation. A data-driven bi-level program (DDBP) is presented to determine generalized travel cost for hazmat carriers and regular traffic flows. A risk-averse (RA) signal control is developed for DDKS with uncertain risk in the presence of hazmat transportation. Since DDBP is generally non-convex, a stochastic program using two-stage approach is proposed to find local optimal solutions. Numerical computations using a real-data city network are made and good results are obtained. As compared with conventional signal controls such as delay-minimizing (DM) and risk-neutral (RN) signal control, the proposed RA exhibits considerable advantage on mitigation of public risk exposure whilst incurred less cost loss as compared to other data-driven alternatives in all cases. |
| Author | Chiou, Suh-Wen |
| Author_xml | – sequence: 1 givenname: Suh-Wen orcidid: 0000-0003-4743-7544 surname: Chiou fullname: Chiou, Suh-Wen email: chiou@mail.ndhu.edu.tw organization: Department of Information Management, National Dong Hwa University, Dahsueh Road, Hualien 97401, Taiwan |
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| CitedBy_id | crossref_primary_10_1016_j_aei_2020_101194 crossref_primary_10_1002_int_22567 crossref_primary_10_1007_s00500_020_05133_x crossref_primary_10_1049_itr2_12049 crossref_primary_10_1007_s12652_020_02052_5 crossref_primary_10_3390_su142416922 crossref_primary_10_1109_TFUZZ_2021_3075842 crossref_primary_10_1109_ACCESS_2020_2977134 crossref_primary_10_1016_j_ins_2021_06_082 |
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| Keywords | Data-driven bi-level program (DDBP) Bi-level programming problem (BLPP) Data-driven knowledge based system (DDKS) Two-stage approach Urban traffic signal control |
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| Snippet | •A data-driven knowledge system (DDKS) for traffic signal control is presented.•A data-driven bi-level program (DDBP) is proposed.•A knowledge based two-stage... A data-driven knowledge based system (DDKS) is considered for urban signal control with hazardous material (hazmat) transportation. A data-driven bi-level... |
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| SubjectTerms | Bi-level programming problem (BLPP) Data Data processing Data-driven bi-level program (DDBP) Data-driven knowledge based system (DDKS) Expert systems Information systems Knowledge based systems Mitigation Risk Signaling Stochastic models Traffic control Transportation Two-stage approach Uncertainty Urban traffic signal control |
| Title | A data-driven bi-level program for knowledge-based signal control system under uncertainty |
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