Wilfred W. Recker
Director, Civil & Environmental Engineering
The Henry Samueli School of Engineering
The Henry Samueli School of Engineering
PH.D., Carnegie-Mellon University
University of California, Irvine
522 Social Science Tower
Mail Code: 3600
Irvine, CA 92697
522 Social Science Tower
Mail Code: 3600
Irvine, CA 92697
Research Interests
Transportation Modeling and Urban Systems
Academic Distinctions
Appointments
Research Abstract
A Network-Based Model of Household Activity/Travel Decisions
Investigator: W.W. Recker
Support: U.S. Department of Transportation
Complex household decisions regarding the scheduling of out-of-home activities, travel to those activities, and allocation of personal automobiles for travel are being modeled as a variant of the "Pick Up and Delivery Problem with Time Windows" in operations research. Outputs of the model are optimal time/space diagrams for the household subject to a specified objective and time and budget constraints.
Activity-Based Models of Accessibility: Planning Implications for Urban Subcenters
Investigators: W.W. Recker, M.G. McNally, R.G. Golledge, R. Kitamura, and T.F. Golob
Research Assistant: C-H. Chen
Support: U.S. Department of Transportation, National Science Foundation
This project is continuing to refine and apply the STARCHILD Simulation of Travel/Activity Responses to Complex Interaction Logistic Decisions) model to analyze the probable responses of households to strategies aimed at reducing solo driving and the resulting congestion in urban subcenters. These strategies include shifting accessibility to other time periods, other family members, other locations, or other segments of society. The model allows analysis of the accessibility and activity scheduling of the entire household, rather than just a specific tripmaker or trip.
The Advanced Transportation Management Systems Testbed Research Program
Investigators: W.W. Recker, R. Jayakrishnan, M.G. McNally, S.G. Ritchie, W.K. Tsai, K.H. Kim, P. Sheu, K-Y. Siu, A.R. Stubberud, D. Hoffman, M. Dillencourt, B. Bennett, and J. Leonard
Research Assistants: T. Biu, J. Cao, A. Chen, C. Chen, K. Cheu, S. Khan, R. Komerska, V. Leung, F. Logi, K. Pechter, B. Ramanathan, S. Richman, C. Rindt, W. Shao, J. Sheu, C. Sun, E. Tao, W-M. Wey, X-H. Yu, and H. Zhang
Support: Division of New Technology and Research, California Department of Transportation
A real-world testbed has been established to study and evaluate applications of advanced technology in the management of transportation systems. The effort is being conducted as a partnership among academic, public operating agencies, and private sector technology firms. The laboratory is dedicated to investigating the "state-of-the-possible" in advanced transportation management systems. The Testbed traffic management research program for the advanced testbed focus s on the development of traffic management capabilities that are based on real-time communications and control. The intent is to provide an advanced TOS with the tools necessary to capitalize on improved surveillance, communications, and control made possible by recent technological advances. The specific research components have been designed to focus on fundamental research; these basic directions are reinforced continuously, with the most promising avenues for advancement of the state-of-the-practice implemented within the Testbed for real-world evaluation.
Evaluation of the Anaheim Integrated Traffic Control System
Investigators: W.W. Recker and M.G. McNally
Support: City of Anaheim, California
Federal Highway Administration
Data, which come from Anaheim's implementation of centralized signal control, variable message signs, closed-circuit television, highway advisory radio, and local access cable television, are helping researchers evaluate the effectiveness of state-of-the-art surveillance and communication techniques for managing traffic on local transportation networks. Investigators are using the Transyt-7F simulation model to gauge overall system performance, and they are assessing hardware and software compatibility, and interjurisdictional coordination and administrative agreements.
Impacts of Real-Time Traffic Information on Driver Behavior
Investigators: W.W. Recker, M.G. McNally, and J. Adler
Support: Program on Advanced Transit and Highways, California Department of Transportation
In planning a trip, drivers often adapt their departure time or initial route choice in response to traffic; en route, they may opt to change routes to avoid delays or improve conditions. This project is using a video role-playing simulation to study driver route choice and observed reactions to various travel scenarios. Throughout the experiment, the conditions of the simulation will be varied, allowing researchers to study the impact of each variable on the choice process. Results will guide an explanatory and predictive model of driver behavior under various traffic scenarios.
(Jeffrey Adler is Assistant Professor at the Rensselaer Polytechnic Institute.)
Stochastic Platoon-Based Model For Traffic Signal Coordination
Investigator: W.W. Recker and J. Leonard
Research Assistant: B. Ramanathan
Support: U.S. Department of Transportation
California Department of Transportation
The researchers are refining a model of vehicle platooning behavior which was developed from microscopic traffic flow theory and reflects platooning characteristics based on vehicle mix, various driver behaviors, vehicle acceleration, and desired speed. The results of this analysis will be applied to the development of a macroscopic stochastic model of traffic flow through signalized networks and the evaluation of coordinated traffic signal controllers.
Investigator: W.W. Recker
Support: U.S. Department of Transportation
Complex household decisions regarding the scheduling of out-of-home activities, travel to those activities, and allocation of personal automobiles for travel are being modeled as a variant of the "Pick Up and Delivery Problem with Time Windows" in operations research. Outputs of the model are optimal time/space diagrams for the household subject to a specified objective and time and budget constraints.
Activity-Based Models of Accessibility: Planning Implications for Urban Subcenters
Investigators: W.W. Recker, M.G. McNally, R.G. Golledge, R. Kitamura, and T.F. Golob
Research Assistant: C-H. Chen
Support: U.S. Department of Transportation, National Science Foundation
This project is continuing to refine and apply the STARCHILD Simulation of Travel/Activity Responses to Complex Interaction Logistic Decisions) model to analyze the probable responses of households to strategies aimed at reducing solo driving and the resulting congestion in urban subcenters. These strategies include shifting accessibility to other time periods, other family members, other locations, or other segments of society. The model allows analysis of the accessibility and activity scheduling of the entire household, rather than just a specific tripmaker or trip.
The Advanced Transportation Management Systems Testbed Research Program
Investigators: W.W. Recker, R. Jayakrishnan, M.G. McNally, S.G. Ritchie, W.K. Tsai, K.H. Kim, P. Sheu, K-Y. Siu, A.R. Stubberud, D. Hoffman, M. Dillencourt, B. Bennett, and J. Leonard
Research Assistants: T. Biu, J. Cao, A. Chen, C. Chen, K. Cheu, S. Khan, R. Komerska, V. Leung, F. Logi, K. Pechter, B. Ramanathan, S. Richman, C. Rindt, W. Shao, J. Sheu, C. Sun, E. Tao, W-M. Wey, X-H. Yu, and H. Zhang
Support: Division of New Technology and Research, California Department of Transportation
A real-world testbed has been established to study and evaluate applications of advanced technology in the management of transportation systems. The effort is being conducted as a partnership among academic, public operating agencies, and private sector technology firms. The laboratory is dedicated to investigating the "state-of-the-possible" in advanced transportation management systems. The Testbed traffic management research program for the advanced testbed focus s on the development of traffic management capabilities that are based on real-time communications and control. The intent is to provide an advanced TOS with the tools necessary to capitalize on improved surveillance, communications, and control made possible by recent technological advances. The specific research components have been designed to focus on fundamental research; these basic directions are reinforced continuously, with the most promising avenues for advancement of the state-of-the-practice implemented within the Testbed for real-world evaluation.
Evaluation of the Anaheim Integrated Traffic Control System
Investigators: W.W. Recker and M.G. McNally
Support: City of Anaheim, California
Federal Highway Administration
Data, which come from Anaheim's implementation of centralized signal control, variable message signs, closed-circuit television, highway advisory radio, and local access cable television, are helping researchers evaluate the effectiveness of state-of-the-art surveillance and communication techniques for managing traffic on local transportation networks. Investigators are using the Transyt-7F simulation model to gauge overall system performance, and they are assessing hardware and software compatibility, and interjurisdictional coordination and administrative agreements.
Impacts of Real-Time Traffic Information on Driver Behavior
Investigators: W.W. Recker, M.G. McNally, and J. Adler
Support: Program on Advanced Transit and Highways, California Department of Transportation
In planning a trip, drivers often adapt their departure time or initial route choice in response to traffic; en route, they may opt to change routes to avoid delays or improve conditions. This project is using a video role-playing simulation to study driver route choice and observed reactions to various travel scenarios. Throughout the experiment, the conditions of the simulation will be varied, allowing researchers to study the impact of each variable on the choice process. Results will guide an explanatory and predictive model of driver behavior under various traffic scenarios.
(Jeffrey Adler is Assistant Professor at the Rensselaer Polytechnic Institute.)
Stochastic Platoon-Based Model For Traffic Signal Coordination
Investigator: W.W. Recker and J. Leonard
Research Assistant: B. Ramanathan
Support: U.S. Department of Transportation
California Department of Transportation
The researchers are refining a model of vehicle platooning behavior which was developed from microscopic traffic flow theory and reflects platooning characteristics based on vehicle mix, various driver behaviors, vehicle acceleration, and desired speed. The results of this analysis will be applied to the development of a macroscopic stochastic model of traffic flow through signalized networks and the evaluation of coordinated traffic signal controllers.
Publications
Sun, C., W. Recker, S. Ritchie, B. Gallagher and J. Thai (1997). OAK-TREE: One-of-A-Kind Traffic Research and Education Experiment. Transportation Research Record, 1603, pp. 106-111.
Leonard, J.D. and W.W. Recker (1997). A Streamlined Methodology for Application of TRANSYT-7F. ITE Journal, 67, 2, pp. 26-35.
Zhang, H., S. Ritchie, and W. Recker (1996). Some General Results on the Optimal Ramp Control Problem. Transportation Research Part C: Emerging Technologies, 4, 2, pp. 51-69.
Recker, W.W., B.V. Ramanathan, X-H Yu, and M.G. McNally (1995). Markovian Real-Time Adaptive Control of Signal Systems. Mathematical and Computer Modelling Journal, 22, 4-7, pp. 355-375.
McDonnell, J., D. Fogel, L. Fogel, C. Rindt, and W. Recker (1995). Evolving Optimal Ramp Control Rules. International Journal of Expert Systems, 8, 3, pp. 287-308.
McDonnell, J., D. Fogel, C. Rindt, W. Recker and L. Fogel (1995). Using Evolutionary Programming to Control Metering Rates on Freeway Ramps. In Evolutionary Algorithms in Management Applications, J. Biethan and V. Nissen eds., Springer, Berlin, pp. 305-327.
Recker, W.W. (1995). Discrete Choice With An Oddball Alternative. Transportation Research, 29B, 3, pp. 201-211.
Research Centers
Institute of Transportation Studies
Link to this profile
https://faculty.uci.edu/profile/?facultyId=2874
https://faculty.uci.edu/profile/?facultyId=2874
Last updated
03/15/2002
03/15/2002