Chapter 7 CONCLUDING REMARKS
7.3 Suggestions
Although this study has developed an effective, robust and applicable signal control models for the isolated and sequential intersections, some limitations should be mentioned and some findings are worth further studies.
1. The proposed stepwise algorithm is to select rules sequentially. However, an early selected rule may not be necessary to be the one of rules in the optimal rule combination.
A post-optimization adjustment mechanism can be developed to further fine tuned the selected rules and membership functions.
2. More effective and efficient encoding methods in selecting the logic rules or tuning the membership functions or both deserve to be explored.
3. For sequential coordinated intersections, the control performance is measured by TVD in this paper. Other performance indices, such as maximum green band, minimum stopping rate, and maximum throughput, deserve to be adopted and examined.
4. In this study, only simple two phase signal control plan is considered. Multi-phase signal control plans with consideration of turning flows at intersections deserves to be developed.
5. The control performances of the trained SGFLC model can be further examined by commonly-adopted traffic simulation software packages, such as AIMSUN, VISSIM,
PARAMICS, and CORSIM through build-in API interfaces, prior to field installation to judge effectiveness of the proposed model.
6. The mixed-traffic condition including lumps cars and heavy vehicles all together and scaled up to the network level should be considered in the traffic simulation model so as to further enhance the applicability and comprehensiveness of the proposed model.
7. The inaccuracy of traffic information detected on urban streets is pretty common. How to conduct an optimal control based on such inaccurate and unreliable vehicle detectors is also an interesting topic deserves a further attempt.
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VITA
YEN-FEI HUANG EDUCATION
Ph.D Institute of Traffic and Transportation
National Chiao Tung University, Taipei, Taiwan (2007/09-2012/09) Advisor: Prof. Yu-Chiun Chiou
Dissertation: Genetic Fuzzy Logic Signal Control with Mixed-Traffic Cell Transmission Modeling
M.S. Graduate Institute of Traffic and Transportation Engineering and Management Feng Chia University, Taichung, Taiwan (2003/09-2005/06)
Advisor: Prof. Yu-Chiun Chiou
Thesis: A Multi-Attribute Evaluation Model of Rescue and Evacuation Routes for the Accident in Highway Long Tunnel
B.S. Department of Traffic and Transportation Engineering and Management Feng Chia University, Taichung, Taiwan (1999/09-2003/06)
RESEARCH EXPERIENCE
Research Assistant National Tung University, Taiwan (2007/09-2012/09) Research Assistant Feng Chia University, Taiwan (2003/09-2007/06)
AWARDS
Best Student Paper Award: Conference on Traffic Engineering and Intelligent Transportation Systems, 2009.
Best Student Paper Award: Cross-strait Conference on Intelligent Transportation Systems, 2009.
PUBLICATION
Journal
1. Chiou, Y.C. and Huang, Y.F. (2012) “Stepwise genetic fuzzy logic signal control under mixed traffic conditions,＂ Journal of Advanced Transportation (SCI) (Accepted) 2. Chiou, Y.C. and Huang, Y.F. (2012) “Genetic fuzzy logic traffic signal control with
cell transmission modeling,＂ Journal of the Chinese Institute of Engineers (SCI) (Accepted)
3. Chiou, Y.C. Huang, Y.F. and Lin, P.C. (2012) “Optimal variable speed-limited control under abnormal traffic conditions,＂ Journal of the Chinese Institute of Engineers (SCI), Vol. 35 pp.299-308
4. 邱裕鈞、王銘德、黃彥斐 (民 100)，「臺灣地區公路客運供給與補貼之區域資源分
配差異分析」，運輸計劃季刊(TSSCI) 。（已接受）
5. 邱裕鈞、張凱羚、黃彥斐 (民 93)，「公路長隧道事故救援策略之多準則決策模型」，
交通學報，第四卷第二期，第93～112 頁。
Conference
1. Chiou, Y.C., Lan, L.W., Huang, Y.F. and Hsieh, C.W. (2011) “Traffic responsive signal control system under mixed traffic conditions,＂ presented at the 16th Conference of Hong Kong Society for Transportation Studies, Hong Kong, China, Dec. 17-20.
2. Chiou, Y.C. and Huang, Y.F. (2011) “Stepwise genetic fuzzy logic signal control under mixed traffic conditions,＂ presented at the International Conference on Advances in Highway Engineering & Transportation Systems & Transport Research Forum 2011, Colombo, Sri Lanka, July 25-27.
3. Chiou, Y.C. and Huang, Y.F. (2010) “Genetic fuzzy logic traffic signal control with a stepwise learning algorithm,＂ presented at the 15th Conference of Hong Kong Society for Transportation Studies, Hong Kong, China, Dec. 11-14.
4. Chiou, Y.C., Lan, L.W., Lin, P.C. and Huang, Y.F. (2009) “Development of optimal variable speed-limit control model,＂ presented at the 14th Conference of Hong Kong Society for Transportation Studies, Hong Kong, China, Dec. 10-12.
5. 邱裕鈞、林柏辰、黃彥斐 (民 98)，建立異常交通狀況下之可變速限控制模式，2009
大專院校交通工程與智慧型運輸系統專題論文/創作成果競賽暨研討會，臺灣，臺 北，12 月。
6. 邱裕鈞、黃彥斐 (民 98)「基因模糊邏輯號誌控制系統-格位轉換模式之模擬分析」，
2009 海峽兩岸智慧型運輸系統學術研討會，臺灣，臺中，5 月。
Research Report
1. 邱裕鈞（2011-2012），「混合車流下之綠色適應性交通號誌控制模式」,國科會專題
研究報告(編號：NSC 100-2221-E-009-121)
2. 邱裕鈞（2008-2011），「基因及螞蟻規則探勘模式－以事故分析及事故鑑定為例（I、
II&III）」，國科會專題研究報告（編號：NSC 97-2628-E-009-035-MY3）
3. 邱裕鈞（2007-2010），「應用車輛辨識系統提昇起迄旅次矩陣推估之研究（I、
II&III）」，國科會專題研究報告（編號：NSC96-2628-E-009-171-MY3）
4. 邱裕鈞（2007-2008），「預測型模糊邏輯匝道儀控系統之建構與驗證（I & II）」，國
科會專題研究報告（編號：NSC95-2221-E-009-368-MY2）
8. 邱裕鈞（2011），「100 年運輸研究統計資料蒐集及彙編」，交通部運輸研究所委託。
9. 馮正民、邱裕鈞等（2011），「因應公路客運業市場環境與結構改變政府之輔導轉型
策略與管理技術研究」，交通部運輸研究所委託。
10. 馮正民、邱裕鈞等（2010），「前瞻運輸物流管理系統整體發展架構與推動策略規
劃」，交通部運輸研究所委託。
11. 馮正民、邱裕鈞等（2009），「強化公路公共運輸政策研析」，交通部運輸研究所委 託。
12. 邱裕鈞、鍾政棋（2008~2010），「97-99 年運輸研究統計資料蒐集及彙編」，交通部 運輸研究所委託。
13. 邱裕鈞、陳穆臻、鍾政棋（2007），「96 年運輸研究統計資料蒐集及彙編」，交通部 運輸研究所委託。
14. 邱裕鈞、艾嘉銘、温傑華（2005~2007），「高速公路局中區工程處交控中心人力委
外工作」，國道高速公路局中區工程處委託。
15. 邱裕鈞、鍾政棋、艾嘉銘（2006），「本所運輸統計資料蒐集與整理彙編」，交通部 運輸研究所委託研究報告。
16. 李秉乾、楊龍士、邱裕鈞等（2003-2005），「協助彰化縣、台中市改善災害防救計
畫」，國家災害防救科技中心委託研究計畫。