一、中文部分：
1.方世榮，民94，統計學導論，第四版，華泰書局，臺北。
2.交通部，民91，2001年台灣地區公路容量手冊。
3.交通部，民93，交通工程手冊。
4.交通部運輸研究所，民84，台灣地區整體運輸需求分析與預測之研究 。
5.交通部運輸研究所，民91，台灣地區發展智慧型運輸系統（ITS）系統架構之研究。
6.交通部臺灣區國道高速公路局，民86，台灣地區高速公路施工之交通措施。
7.交通部臺灣區國道高速公路局，民96，國道高速公路交通資訊系統網站，網址：http://1968.nfreeway.gov.tw。
8.交通部臺灣區國道高速公路局，民97，交通部臺灣區國道高速公路局:施工之交通管制守則，網址：http://www.freeway.gov.tw/Publish.aspx?cni d=1502＆p=1160。
9.吳明隆，民97，SPSS操作與應用：問卷統計分析實務，第一版，五南文化事業，臺北。
10.李穎，民96，考慮事故延續時間動態更新預測之高速公路旅行時間預測模式建立與資料簡化方法比較，國立成功大學交通管理科學系博士論文。
11.周榮昌、陳志成、翁美娟，民92，「及時交通資訊對高速公路使用者路線移轉行為之分析」，運輸學刊，15（1），25?48
12.林茂文，民95，時間數列分析與預測：管理與財經之應用，第三版，華泰書局，臺北。
13.胡大瀛，民85，「動態路網模擬指派模式之建立：以DYNASMART為例」，運輸學刊，9（3）， 1?24。14.胡大瀛，民90，「模擬式動態交通指派模式之研究」，運輸計劃季刊，30（1）， 1?32。15.陳順宇、鄭碧娥，民93，統計學，第四版，華泰書局，臺北。
16.黃銘崇，民92，路網流量逐日演變之研究－在智慧型運輸系統運作情境下，國立交通大學運輸科技與管理學系博士論文。
17.董啟崇、陳怡憓，民95，「車內導引資訊系統影響駕駛人路線移轉行為之分析」，運輸學刊，18（4），365?390。18.賈生華、疏禮兵，2004，「基於知識管理循環過程的知識管理績效指標」，研究與發展管理，16（5），40?45。
19.蔡明月，民92，資訊計量學與文獻特性，華泰書局，台北。二、英文部分：
1.Apivat J., and John W. P., 2008, “Recent results in the modeling of learning and adaptation in route and departure time choice, The 87th Transportation Research Board Annual Meeting, Washington, D.C., USA.
2.Bekhor, S., Ben-Akiva, M. E., and Ramming, M., 2006, “Evaluation of choice set generation algorithms for route choice models, Annals of Operations Research, 144(1), 235–247.
3.Bliemer, M. C., and Bovy, P. H., 2008, “Impact of route choice set on route choice probabilities, Transportation Research Record, 2076, 10-19.
4.Cassidy, M., and Han, L., 1993, “Proposed model for predicting motorist delays at two-lane highway work zones, Journal of Transportation Engineering, 119(1), 27-42.
5.Chen, C. H., and Schonfeld, P., 2004, “Work zone optimization for two-lane highway maintenance project, Transportation Research Record, 1877, 95-105.
6.Chien, S., and Schonfeld, P., 2001, “Optimal work zone lengths for four-lane highways, Journal of Transportation Engineering, 127(2), 124-131.
7.Chien, S., Tang, Y., and Sconfeld, P., 2002, “Optimizing work zones for two-lane highway maintenance projects, Journal of Transportation Engineering, 128(2), 145-155.
8.Chitturi, M. V., Benekohal, R. F., and Kaja-Mohideen, A. Z., 2008, “Methodology for computing delay and user costs in work zones, Transportation Research Record, 2055, 31-38.
9.Cho, H. J. and Hwang, M. C., 2005, “Day-to-day vehicular flow dynamics in intelligent transportation network, Mathematical and Computer Modeling, 41(4/5), 501-522.
10.Dixon, K., Hummer, J., and Rouphail, N., 1998, “Comparison of rural freeway work zone queue length estimation techniques: a case study, Proceedings of the 77th Transportation Research Board Annual Meeting, Washington, D.C., USA.
11.FHWA, 2008a, Federal Highway Administration - FHWA Safety, Available: http:// safety.fhwa.dot.gov/wz/wz_natl_pro.htm/
12.FHWA, 2008b, Federal Highway Administration - Work Zone Mobility and Safety Program, Available: http:// ops.fhwa.dot.gov/wz/
13.Fornell, C., Johnson, M. D., Anderson, E.W., Cha, J., and Bryant, B.E., 1996, “The American customer satisfaction index: nature, Journal of Marketing, 60, 7-18.
14.Gan, H. C., Xin, Y., and Gao, W. S., 2008, “Drivers’ en-route diversion decisions under the influence of variable message sign information: an empirical analysis, Proceedings of the 87th Transportation Research Board Annual Meeting, Washington, D.C., USA.
15.Garib, A., Radwan, A. E., and Al-Deek, H., 1997, “Estimating magnitude and duration of accident delays, Journal of Transportation Engineering, 123(6), 459-466.
16.Lee, H. Y., 2009, “Optimizing schedule for improving the traffic impact of work zone on roads, Automation in Construction, 18, 1034–1044
17.Hu, T. Y., and Mahmassani, H. S., 1995, “Evolution of network flows under real-time information: a day-to-day dynamic simulation-assignment framework, Transportation Research Record, 1493, 46-56.
18.Hu, T. Y., and Mahmassani, H. S., 1997, “Day-to-day evolution of network flows under real-time information and reactive signal control, Transport Research Part C, 5(1), 51-69.
19.Jiang, X., and Adeli, H., 2003, “Freeway work zone traffic delay and cost optimization model, Journal of Transportation Engineering, 129(3), 230-241.
20.Jiang, Y., 1998, Traffic characteristics and estimation of traffic delays and user costs at Indiana freeway work zones, Indiana Department of Transportation, Indianapolis, Indiana, USA.
21.Jou, R. C., Lam, S. H., Weng, M. C., and Chen, C. C., 2004, “Real time traffic information and its impacts on route switching behavior of expressway drivers, Journal of Advanced Transportation, 38(2), 187-223.
22.Lee, K. C., Lee, S. and Kang, I., 2005, “KMPI: Measuring knowledge management performance, Information ＆ Management, 42, 469-482.
23.Liu, M. C. and San, G., 2006, “Social learning and digital divides: A case study of internet technology diffusion, KYKLOS, 59(2), 307-321.
24.Mahmassani, H. S., and Liu, Y. H., 1999, “Dynamics of commuting decision behaviors under advanced traveler information systems, Transportation Research Part C, 7C(2/3), 91-107.
25.Memmott, J. L. and Dudek, C. L., 1982, A model to calculate the road costs at work zones, Texas Transportation Institute, Research Report 292-1, College Station, Texas.
26.Michael, J. C., and Lee, D. H., 1993, “Proposed model for predicting motorist delays at two-lane highway work zones, Journal of Transportation Engineering, 119 (1), 27-42.
27.Nam, D. and Mannering, F., 2000, “An exploratory hazard-based analysis of highway accident duration, Transportation Research Part A, 34(2), 85-102.
28.Peffers, K. and Dos-Santos, B. L., 1996, “Performance effects of innovative IT applications over time, IEEE Transactions on Engineering Management, 43 (4), 381-392.
29.Schonfeld, P., and Chien, S., 1999, “Optimal work zone lengths for two-lane highways, Journal of Transportation Engineering, 125(1), 21-29.
30.Smith, K. W., and Smith, B. L., 2001, Forecasting the clearance time of freeway accidents, The National ITS Implementation Research Center, research report No. UVACTS-15-0-35.
31.Soares, R. and Najafi, F. T., 1998, “User costs at the work zone, Proceedings of the 77th Transportation Research Board Annual Meeting, Washington, D.C., USA.
32.Tang Y., and Chien S., 2008, “Scheduling work zones for highway maintenance project considering variable time-cost relation, Journal of the Transportation Research Board, 2055, 21-30.
33.Thatcher, A. R., Kannisto, V., and Vaupel, JW., 1998, “The force of mortality at ages 80 to 120, Odense Monographs on Population Aging, Vol. 5, Odense University Press, Denmark.
34.Transportation Research Board, 2000, Highway capacity manual special report 209, Transportation Research Board, Washington, DC., USA.
35.Wei, C. H. and Lee, Y., 2005, “Appling data fusion techniques to traveler information services in highway network, Journal of the Eastern Asia Society for Transportation Studies, 6, 2457-2475.
36.Yu, S. L., and Fricker, J. D., 2004, A highway traveler information system: forecasting and publicizing delays in the Indiana state highway network, FHWA, U.S. Department of Transportation, USA.