Project. Signal timing algorithm Completed Principal investigator. Dr. B. Brian Park, University of Virginia, 434-924-6347, bpark@virginia.edu. Dr. B. Brian Park, University of Virginia, 434-924-6347, bpark@virginia.edu External contact. Cathy McGhee, VTRC, Charlottesville, VA 22904, 434-293-1973. Cathy McGhee, VTRC, Charlottesville, VA 22904, 434-293-1973. Cathy McGhee, VTRC, Charlottesville, VA 22904, 434-293-1973 Project objective. Development of a stochastic optimization algorithm for actuated signal control. Development of a stochastic optimization algorithm for actuated signal control. Development of a stochastic optimization algorithm for actuated signal control Project abstract. Most of existing traffic signal optimization programs, such as SYNCHRO, TRANSYT-7F, and PASSER-II, rely on deterministic and macroscopic simulation programs. One drawback of such applications is that the simulation program does not reflect real-world conditions. For example, urban street network consists of a variety of motorized and non-motorized users including passenger cars, trucks, buses, bicycles, and pedestrians. Furthermore, it also reveals significant day-to-day in demand variations. This project is to develop a stochastic and microscopic simulation program-based advanced signal timing plan optimization algorithm.. Most of existing traffic signal optimization programs, such as SYNCHRO, TRANSYT-7F, and PASSER-II, rely on deterministic and macroscopic simulation programs. One drawback of such applications is that the simulation program does not reflect real-world conditions. For example, urban street network consists of a variety of motorized and non-motorized users including passenger cars, trucks, buses, bicycles, and pedestrians. Furthermore, it also reveals significant day-to-day in demand variations. This project is to develop a stochastic and microscopic simulation program-based advanced signal timing plan optimization algorithm.. Most of existing traffic signal optimization programs, such as SYNCHRO, TRANSYT-7F, and PASSER-II, rely on deterministic and macroscopic simulation programs. One drawback of such applications is that the simulation program does not reflect real-world conditions. For example, urban street network consists of a variety of motorized and non-motorized users including passenger cars, trucks, buses, bicycles, and pedestrians. Furthermore, it also reveals significant day-to-day in demand variations. This project is to develop a stochastic and microscopic simulation program-based advanced signal timing plan optimization algorithm. Tasks. 1) Literature review. 2) A postulated network coding. 3) Development of optimization algorithm advanced statistical method and/or search algorithm. 3) Comparison with current state of the art program using a simulation test-bed. 4) Compose final report. Milestones. This is a new project. The final report will be submitted by June 30, 2003.. This is a new project. The final report will be submitted by June 30, 2003.. This is a new project. The final report will be submitted by June 30, 2003. Student involvement. One full-time GRA for the duration of the project. One full-time GRA for the duration of the project. One full-time GRA for the duration of the project Budget. $100,000 Relation to other research. No immediate relationship Technology transfer. Papers in professional journals. Papers in professional journals. Papers in professional journals Potential benefits. A stochastic optimization algorithm can be used in other areas such as ramp metering. It will improve vehicle and people mobility in urban street network via better signal timing plan.. A stochastic optimization algorithm can be used in other areas such as ramp metering. It will improve vehicle and people mobility in urban street network via better signal timing plan.. A stochastic optimization algorithm can be used in other areas such as ramp metering. It will improve vehicle and people mobility in urban street network via better signal timing plan. TRB keywords. Traffic signal. Traffic signal. Traffic signal | ||||