1 심상우, "혼잡상황에서 링크미통과 GPS 프로브데이터를 활용한 링크통행시간 추정기법 개발" 대한교통학회 24 (24): 7-18, 2006
2 장진환, "통계적 신뢰구간 개념을 도입한 검지기 성능평가" 한국ITS학회 10 (10): 67-75, 2011
3 고승영, "교통정보 수집을 위한 프로브차량대수 모형 개발" 대한교통학회 20 (20): 177-185, 2002
4 나성용, "고속도로 교통정보 수집을 위한 V2X 차량비율 추정연구" 한국ITS학회 17 (17): 71-78, 2018
5 심정숙, "거시교통류 모니터링 지표산출을 위한 적정 프로브차량 비율 결정에 관한 연구" 한국ITS학회 9 (9): 33-40, 2010
6 Zhao, Y., "Various methods for queue length and traffic volume estimation using probe vehicle trajectories" 107 : 70-91, 2019
7 Guler, S. I., "Using connected vehicle technology to improve the efficiency of intersections" 46 : 121-131, 2014
8 이재현, "Two-fluid Model 파라미터를 활용한 강우에 따른 도시부 네트워크 운영성 및 위험도 변화 분석" 대한토목학회 40 (40): 167-175, 2020
9 권영범, "Two-Fluid 모형 파라미터 정산의 새로운 접근방안" 대한토목학회 39 (39): 63-71, 2019
10 Quiroga, C. A., "Travel time studies with global positioning and geographic information systems: An integrated methodology" 6 (6): 101-127, 1998
1 심상우, "혼잡상황에서 링크미통과 GPS 프로브데이터를 활용한 링크통행시간 추정기법 개발" 대한교통학회 24 (24): 7-18, 2006
2 장진환, "통계적 신뢰구간 개념을 도입한 검지기 성능평가" 한국ITS학회 10 (10): 67-75, 2011
3 고승영, "교통정보 수집을 위한 프로브차량대수 모형 개발" 대한교통학회 20 (20): 177-185, 2002
4 나성용, "고속도로 교통정보 수집을 위한 V2X 차량비율 추정연구" 한국ITS학회 17 (17): 71-78, 2018
5 심정숙, "거시교통류 모니터링 지표산출을 위한 적정 프로브차량 비율 결정에 관한 연구" 한국ITS학회 9 (9): 33-40, 2010
6 Zhao, Y., "Various methods for queue length and traffic volume estimation using probe vehicle trajectories" 107 : 70-91, 2019
7 Guler, S. I., "Using connected vehicle technology to improve the efficiency of intersections" 46 : 121-131, 2014
8 이재현, "Two-fluid Model 파라미터를 활용한 강우에 따른 도시부 네트워크 운영성 및 위험도 변화 분석" 대한토목학회 40 (40): 167-175, 2020
9 권영범, "Two-Fluid 모형 파라미터 정산의 새로운 접근방안" 대한토목학회 39 (39): 63-71, 2019
10 Quiroga, C. A., "Travel time studies with global positioning and geographic information systems: An integrated methodology" 6 (6): 101-127, 1998
11 Gerlough, D. L., "Traffic flow theory: A monograph" Transportation Research Board, National Research Council 1975
12 Comert, G., "Simple analytical models for estimating the queue lengths from probe vehicles at traffic signals" 55 : 59-74, 2013
13 Kitae Jang, "Short-Term Prediction of Travel Time Using DSRC on Highway" Korean Society of Civil Engineers 33 (33): 2465-, 2013
14 Jiwon Kim, "Rate of Probe Vehicles for the Collection of Traffic Information on Expressways" The Korea Institute of Intelligent Transport Systems 18 (18): 262-274, 2019
15 Comert, G., "Queue length estimation from probe vehicles at isolated intersections: estimators for primary parameters" 252 (252): 502-521, 2016
16 Comert, G., "Queue length estimation from probe vehicle location and the impacts of sample size" 197 (197): 196-202, 2009
17 Cheu, R. L., "Probe vehicle population and sample size for arterial speed estimation" 17 (17): 53-60, 2002
18 Kim, D. S., "Parameter estimation and elasticity analysis of gravity model by using public transport card data" Chonnam National University 2011
19 Wong, W., "On the estimation of connected vehicle penetration rate based on singlesource connected vehicle data" 126 : 169-191, 2019
20 Han, M. J., "Modeling pedestrian movement behavior based on decision making process" Seoul National University 2016
21 Shin, "Expressway Travel Time Prediction Using K-Nearest Neighborhood" Korean Society of Civil Engineers 34 (34): 1873-, 2014
22 Geroliminis, N., "Existence of urbanscale macroscopic fundamental diagrams: Some experimental findings" 42 (42): 759-770, 2008
23 Zhao, Y., "Estimation of queue lengths, probe vehicle penetration rates, and traffic volumes at signalized intersections using probe vehicle trajectories" 2673 (2673): 660-670, 2019
24 Zheng, J., "Estimating traffic volumes for signalized intersections using connected vehicle data" 79 : 347-362, 2017
25 Dixit, V. V., "Empirical investigation of dynamics of the two-fluid model and macroscopic fundamental diagram with probe vehicles" TRB 1-23, 2015
26 Theil, H., "Economic forecasts and policy" North Holland Publishing Company 1958
27 Park, M. K., "Development of pedestrian accident model in Cheongju" KST 150-154, 2013
28 Chen, M., "Determining the number of probe vehicles for freeway travel time estimation by microscopic simulation" 1719 (1719): 61-68, 2000
29 Lu, S., "Deriving the macroscopic fundamental diagram for an urban area using counted flows and taxi GPS" IEEE 184-188, 2013
30 Du, J., "Deriving macroscopic fundamental diagrams from probe data: Issues and proposed solutions" 66 : 136-149, 2016
31 Ambühl, L., "Data fusion algorithm for macroscopic fundamental diagram estimation" 71 : 184-197, 2016
32 장현호, "DSRC와 TCS 정보를 이용한 고속도로 경로통행시간 예측" 대한토목학회 37 (37): 1033-1041, 2017
33 Argote-Cabañero, J., "Connected vehicle penetration rate for estimation of arterial measures of effectiveness" 60 : 298-312, 2015
34 Punzo, V., "Analysis and comparison of microscopic traffic flow models with real traffic microscopic data" 1934 (1934): 53-63, 2005
35 Lee, Y. I., "A study on link travel time estimating methodology for traffic information service (determining of an adequate sample size)" KST 20 (20): 55-67, 2002
36 Jeong, Y. T., "A study on calculation of sectional travel speeds of the interrupted traffic flow with the consideration of the characteristics of probe data" Korean Society of Civil Engineers 34 (34): 1851-, 2014
37 Feng, Y., "A real-time adaptive signal control in a connected vehicle environment" 55 : 460-473, 2015
38 Nagle, A. S., "A method to estimate the macroscopic fundamental diagram using limited mobile probe data" IEEE 1987-1992, 2013
39 Chung, Y. S., "A development of travel time estimation algorithm fusing GPS probe and loop detector" KST 17 (17): 97-116, 1999
40 Yeon Tak Jeong, "A Study on Improving the Reliability of DSRC Traffic Information Considering Traffic and Road Characteristics - Focusing on Busan Urban Expressway -" Korean Society of Civil Engineers 34 (34): 1535-1545, 2014
41 Young Woo Lee, "A Study on Estimating Route Travel Time Using Collected Data of Bus Information System" Korean Society of Civil Engineers 33 (33): 1115-1122, 2013