Department
Electrical and Computer Engineering
Major
Electrical and Computer Engineering, Physics
Research Advisor
Venayagamoorthy, Ganesh K.
Advisor's Department
Electrical and Computer Engineering
Funding Source
Real-Time Power and Intelligent Systems Laboratory & UMR Opportunities for Undergraduate Research Experiences (OURE) Program
Abstract
We experience traffic congestion as a part of our daily activities. Decisions made at the junction as the traffic flow increases impacts the delay and the number of stopped vehicles the junction will experience.
A four-phase traffic controller has been simulated. The average delay and the number of stopped vehicles were reduced by employing a dynamic programming algorithm. A hierarchical fuzzy logic controller as an offline learning process is being developed to instantly make decisions affecting the green signal allocation. Its rule base will be comparatively trained between particle swarm optimization and a genetic algorithm.
The proposed research involves modeling a series of interconnected two-way street road junctions that have four traffic phases for protected left turning. Each junction will have a fuzzy logic controller producing actions locally, with an approximate dynamic programming network to adapt signalization providing optimal traffic flow between the junctions.
Biography
Phillip Holloway is a senior undergraduate student attending the University of Missouri at Rolla. He is currently on a co-op with Honeywell as a software engineer and seeks majors in Physics, Electrical, and Computer Engineering. He is a talented musician and enjoys writing music.
Research Category
Engineering
Presentation Type
Poster Presentation
Document Type
Poster
Location
Havener Center, Carver-Turner Room
Presentation Date
11 April 2007, 9:00 am - 11:45 am
Road Junction Optimization
Havener Center, Carver-Turner Room
We experience traffic congestion as a part of our daily activities. Decisions made at the junction as the traffic flow increases impacts the delay and the number of stopped vehicles the junction will experience.
A four-phase traffic controller has been simulated. The average delay and the number of stopped vehicles were reduced by employing a dynamic programming algorithm. A hierarchical fuzzy logic controller as an offline learning process is being developed to instantly make decisions affecting the green signal allocation. Its rule base will be comparatively trained between particle swarm optimization and a genetic algorithm.
The proposed research involves modeling a series of interconnected two-way street road junctions that have four traffic phases for protected left turning. Each junction will have a fuzzy logic controller producing actions locally, with an approximate dynamic programming network to adapt signalization providing optimal traffic flow between the junctions.
