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- W576307849 abstract "This paper presents a mixed flow signal-control model with optimization for both cars and motorcycles at road intersection in Taiwan. Model solution approach by genetic algorithm (GA), Particle Swam Optimization (PSO) for optimization under different CPU (1~4) cores operating environment and testing at Hsin-Chu Scientific Park will be given. The approach of GA, PSO-single, and PSO-Multi is used to compute the best optimization conditions such as the length of time period of road section, the length of time phase, total throughput and total delays. The mixed flow signal control model for cars and motorcycles contains five major items: (1) upstream arrivals, (2) propagation to queue, (3) merge into lane groups, (4) departure process, and (5) flow conservation and only the first part is discussed to save space." @default.
- W576307849 created "2016-06-24" @default.
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- W576307849 date "2013-01-01" @default.
- W576307849 modified "2023-09-23" @default.
- W576307849 title "The Mixed Flow Signal-Control Model with Optimization at Single Road Intersection for both Cars and Motorcycles with Case Study of Cloud Device Application" @default.
- W576307849 hasPublicationYear "2013" @default.
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