Statistical Profile Generation of Real-time UAV-based Traffic Data

Small unmanned vehicles are used to provide the eye-in-the-sky alternative to monitoring and regulating traffic dynamically. Spatial-temporal visual data are collected in real-time and they are used to generate traffic-related statistical profiles, serving as inputs to traffic simulation models. Generated profiles, which are continuously updated, are used to calibrate traffic model parameters, to obtain more accurate and reliable simulation models, and for model modifications. This method overcomes limitations of existing traffic simulation models, which suffer from outdated data, poorly calibrated parameters, questionable accuracy and poor predictions of traffic patterns.

[1]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[2]  M. Schreckenberg,et al.  Microscopic Simulation of Urban Traffic Based on Cellular Automata , 1997 .

[3]  A. Schadschneider,et al.  Statistical physics of vehicular traffic and some related systems , 2000, cond-mat/0007053.

[4]  Alan Pankratz,et al.  Forecasting with univariate Box-Jenkins models : concepts and cases , 1983 .

[5]  Mark Hickman,et al.  Application of aerial video for traffic flow monitoring and management , 2002 .

[6]  K Erol,et al.  APPLICATION OF AGENT TECHNOLOGY TO TRAFFIC SIMULATION , 2000 .

[7]  Antony Stathopoulos,et al.  Temporal and Spatial Variations of Real-Time Traffic Data in Urban Areas , 2001 .

[8]  Hashem R Al-Masaeid,et al.  Short-Term Prediction of Traffic Volume in Urban Arterials , 1995 .

[9]  Mike McDonald,et al.  Data requirements and sources for the calibration of microscopic motorway simulation models , 1994, Proceedings of VNIS'94 - 1994 Vehicle Navigation and Information Systems Conference.

[10]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[11]  James R. Emshoff,et al.  Design and use of computer simulation models , 1970 .

[12]  D. L. Gerlough,et al.  Traffic Flow Theory , 1975 .

[13]  Patrice Simon,et al.  Cellular automaton model for bidirectional traffic , 1998 .

[14]  Mark D. Hickman,et al.  Methods of analyzing traffic imagery collected from aerial platforms , 2003, IEEE Trans. Intell. Transp. Syst..

[15]  Massimo Bertozzi,et al.  Artificial vision in road vehicles , 2002, Proc. IEEE.

[16]  P Johansson,et al.  Speed limitation and motorway casualties: a time series count data regression approach. , 1996, Accident; analysis and prevention.

[17]  Stephen G. Ritchie,et al.  Anonymous Vehicle Tracking for Real-Time Traffic Surveillance and Performance on Signalized Arterials , 2002 .

[18]  Gang-Len Chang,et al.  I-270 SIMULATOR : AN INTEGRATED KNOWLEDGE-BASE/SIMULATION SYSTEM FOR REAL-TIME INCIDENT MANAGEMENT , 2003 .

[19]  Paul Ross,et al.  EXPONENTIAL FILTERING OF TRAFFIC DATA , 1982 .

[20]  Byungkyu Park,et al.  Development and Evaluation of a Procedure for the Calibration of Simulation Models , 2005 .

[21]  A. Puri A Survey of Unmanned Aerial Vehicles ( UAV ) for Traffic Surveillance , 2005 .

[22]  Anthony T. Chronopoulos,et al.  A real-time traffic simulation system , 1998 .

[23]  Sigurdur F. Hafstein,et al.  Future of Traffic Information: Online-Simulation of a Large Scale Freeway Network , 2004, ICWI.

[24]  Michalis E. Zervakis,et al.  A survey of video processing techniques for traffic applications , 2003, Image Vis. Comput..

[25]  George S. Fishman,et al.  The statistics of discrete-event simulation , 1968 .

[26]  重治 小野木,et al.  Journal of Applied physics,Vol.33 : 1962年に発表されたレオロジー関連の論文 , 1963 .

[27]  C C McGhee EVALUATION OF METHODS FOR FREEWAY OPERATIONAL ANALYSIS , 2001 .

[28]  Krzysztof Kuchcinski,et al.  The WITAS Unmanned Aerial Vehicle Project , 2000, ECAI.

[29]  Byungkyu Park,et al.  DEVELOPMENT AND EVALUATION OF A CALIBRATION AND VALIDATION PROCEDURE FOR MICROSCOPIC SIMULATION MODELS , 2004 .

[30]  M. V. Aerde,et al.  INTEGRATION : An Overview of Traffic Simulation Features , 1998 .

[31]  Supun Samarasekera,et al.  Aerial video surveillance and exploitation , 2001, Proc. IEEE.

[32]  E. C. van Berkum,et al.  Daily flow profiles of urban traffic , 2004 .

[33]  B. Coifman,et al.  Surface Transportation Surveillance from Unmanned Aerial Vehicles , 2003 .

[34]  P Seneviratne ACCESS TRAFFIC SIMULATION MODEL (ACTSIM) , 2001 .

[35]  Richard L. Van Horn,et al.  Validation of Simulation Results , 1971 .

[36]  Ana L. C. Bazzan,et al.  The impact of real-time information in a two-route scenario using agent-based simulation , 2002 .

[37]  Zu Whan Kim,et al.  High-quality vehicle trajectory generation from video data based on vehicle detection and description , 2003, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems.

[38]  Morton E. O'Kelly,et al.  IDENTIFYING TRUCK CORRESPONDENCE IN MULTI-FRAME IMAGERY , 2005 .

[39]  Gary A. Davis,et al.  Nonparametric Regression and Short‐Term Freeway Traffic Forecasting , 1991 .

[40]  Athanasios K. Ziliaskopoulos,et al.  Foundations of Dynamic Traffic Assignment: The Past, the Present and the Future , 2001 .

[41]  A Chatziioanou,et al.  Video image processing systems: applications in transportation , 1995, Pacific Rim TransTech Conference. 1995 Vehicle Navigation and Information Systems Conference Proceedings. 6th International VNIS. A Ride into the Future.

[42]  H. Akaike A new look at the statistical model identification , 1974 .

[43]  Ali A. Ghorbani,et al.  A multiagent system for optimizing urban traffic , 2003, IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT 2003..

[44]  Germany,et al.  Experiences with a simplified microsimulation for the Dallas/Fort-Worth area , 1997, adap-org/9705002.

[45]  Markos Papageorgiou,et al.  Real-Time Freeway Traffic State Estimation Based on Extended Kalman Filter: A Case Study , 2007, Transp. Sci..

[46]  Dominique Lord,et al.  Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory. , 2005, Accident; analysis and prevention.

[47]  Fan Yuezu,et al.  Probe vehicle sampling for real-time traffic data collection , 2005, Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005..

[48]  Hesham Rakha,et al.  VEHICLE PROBES AS REAL-TIME ATMS SOURCES OF DYNAMIC O-D AND TRAVEL TIME DATA , 1993 .