隨著高速公路的交通量不斷的成長，道路基礎設施早已供不應求，尤其在都會區之尖峰時刻常是處在嚴重擁擠的狀態。因此，高速公路的管理與控制遂成為非常重要的議題。在高速公路常見的管理與控制手段包括：匝道儀控、路徑導引、可變速限控制，以及高乘載專用車道。然而，如何這些不同的控制策略以達到最佳化控制亦是個相當關鍵的問題。
由於先前有關高速公路整合控制模式之文獻中，少有探討高乘載之議題，然而近年來，交管單位持續積極推動高乘載專用車道，因此有其納入考量之必要，以作為交管單位未來規劃與執行高乘載專用車道之參考依據。因此，本研究之目標為針對高乘載專用車道及匝道儀控，發展整合性控制模式，利用數學規劃的方式求得最佳化的控制，本模式為最小整體路網之延滯時間，以改善高速公路之擁擠問題。首先，藉由羅吉特模式，進行使用高乘載專用車道之需求預測，而利用套裝軟體CPLEX求解，進行績效評估分析。
在數值實驗中，本研究選定台北市區域之高速公路做為測試路網，並以高雄市區路網作為實際路網進行探討，並依據不同的需求水準，設計出低中高流量之情境分別進行討論。從數值實驗結果可得，本研究所提出之整合性控制模型改善高速公路之服務績效。

With the increase of the traffic volume on freeway, the road infrastructure has already been insufficient, especially in the urban areas during the rush hours are often in congestion condition. Therefore, freeway traffic control and management strategies have become an important issue around the world. The common strategies include ramp metering, route guidance, variable speed limits (VSLs), and high occupancy vehicle (HOV) lane. However, how to integrate these strategies to achieve optimal control is a crucial problem.
According to the previous researches on freeway integrated control model, the strategy of HOV lane is seldom considered. However, in the recent years, HOV lane has already been promoted actively in Taiwan, the consideration of HOV lane with other strategies is essential. Hence, the aim in this research is focus on HOV lane and ramp metering to develop an integrated control model. The objective of mathematical model is to minimize total delay on freeway. Using the logit model to predict the HOV demand, the probability of using HOV lane is obtained. Though the optimization software, CPLEX, solves the optimal problems to analyze the performance of network.
In the numerical experiment, the model is implemented in a test network and Kaohsiung network. The results present that influence of various strategies is different in three kinds of cases, and the integrated control approaches can enhance traffic efficiency.

1. Chang, S. J. (2012), An Optimal Control Model for Integrated Traffic Corridor Management, Master dissertation, Department of Transportation and Communication Management Science, National Cheng Kung University, Taiwan, ROC.
2. Chu, C. Y. (2010), High-Occupancy Regulation Policy: Case of National Freeway No.1 in Northern Taiwan, Master dissertation, Graduate Institute of Logistics Management, National Dong Hwa University, Taiwan, ROC.
3. Dahlgren, J. (1998), “High Occupancy Vehicle Lanes: Not Always More Effective Than. General Purpose Lanes,” Transportation Research A, Vol. 32, No. 2, pp.99-114.
4. Erhardt, G. D., Koppelman, F. S., Freedman, J., Davison, W. A., and Mullins, A. (2002), “Modeling the choice to use toll and HOV facilities,” Proc., Transportation Research Board 2003 Annual Meeting CD-ROM, TRB, Washington, D.C.
5. FHWA (1996), Predicting the Demand for High Occupancy Vehicle Lanes: Final Report, , Washington, D.C.
6. FHWA (1996), Traffic Control Systems Handbook, FHWA-SA-95-032, Federal Highway Administration, Department of Transportation, Washington, D.C.
7. FHWA (2006), Ramp Management and Control Handbook, FHWA-HOP-06-001, Federal Highway Administration, Department of Transportation, Washington, D.C.
8. Haj-Salem, H., and Papageorgiou, M. (1995), “Ramp metering impact on urban corridor traffic: field results,” Transportation Research A, Vol. 29A, No. 4, pp.303-319.
9. HCM (2011), Highway Capacity Manual in Taiwan, Chinese Institute of Transportation, Taiwan.
10. Hu, T.Y., Chen, L. W., Hung, P.H., Huang, Y.K. and Chiang, M.L. (2005), A New Simulation-Assignment Model DynaTAIWAN for Mixed Traffic Flows, Proceedings of the 12th World Congress on Intelligent Transportation Systems, San Francisco, U.S..
11. Kang, B. X., Chen, C. F. and Wu, j. h. (1993), A Feasibility Study of HOV facilities on the Taipei-Taoyuan of Sun Yat-Sen Freeway, Chinese Institute of Transportation, Taiwan.
12. Lin, F. F. and Wang M. H. (1997), The Freeway High-Occupancy-Vehicle (HOV) Control Strategy Study, Chinese Institute of Transportation, Taiwan.
13. Liu, X., Zhang, G., Wu, Y. J. and Wang, Y. (2011), “Measuring the Quality of Service for High Occupancy Toll Lanes Operations,” Procedia Social and Behavioral Sciences, Vol. 16, pp. 15-25.
14. Menendez, M. and Daganzo, C. F. (2007), “Effects of HOV lanes on freeway bottlenecks,” Transportation Research Part B, Vol. 41, pp.809-822.
15. Naga, R. P. (2007), A Mathematical Model for Evaluating the Conversion of High Occupancy Vehicle Lane to High Occupancy/ Toll Lane, Unpublished master Dissertation, University of California, Davis.
16. Papageorgiou, M., Hadj-Salem, H. and Middelham, F. (1997), “ALINEA Local Ramp Metering: Summary of Field Result,” Transportation Research Record, Vol. 1603, pp.90-98.
17. Taiwan Area National Freeway Bureau. (n.d.). The Network of the Northern Area. Retrieved from: http://www.freeway.gov.tw/
18. Wu, T. Y. (2010), A Study on Intelligent Corridor Management Model, Master dissertation, Department of Transportation and Communication Management Science, National Cheng Kung University, Taiwan, ROC.
19. Transportation Bureau, Kaohsiung City Government (2009), “The report of survey of the travel characteristics of Kaohsiung metropolitan area.”