DocumentCode
3389367
Title
The design and implement of parallel simulation algorithm of dynamic route solution for traffic network
Author
Gao, Linjie ; Juan, Zhicai ; Jing, Peng
Author_Institution
Jiao Tong Univ., Shanghai
fYear
2008
fDate
10-12 Oct. 2008
Firstpage
230
Lastpage
234
Abstract
In order to improve the speed and efficiency of dynamic route solution for traffic network, the paper constructs parallel simulation solution framework using distributed and parallel simulation technology and illuminates parallel simulation strategy which master process assigns sub-task to slave process. At the same time, the parallel simulation algorithm and implemented process of dynamic route solution are designed in microscopic simulation level. It puts forwards network-partition algorithm based on each intersection and communication mode of synchronization between processes to realize dynamic load balancing. It expatiates on the parallelism of simulation module and simulation control of solution algorithm. With designed parallel algorithm, traffic network that is made up of 12 intersections is modeled on different numbers of processors. Results from the simulation demonstrate that simulation speed increases about 2.5 times. Hence, the designed parallel simulation algorithm provides a foundation for larger scale dynamic route solution.
Keywords
parallel processing; telecommunication computing; telecommunication network routing; telecommunication traffic; distributed simulation; dynamic load balancing; dynamic route solution; network-partition algorithm; parallel simulation algorithm; traffic network; Algorithm design and analysis; Communication system control; Heuristic algorithms; Load management; Master-slave; Microscopy; Paper technology; Parallel algorithms; Telecommunication traffic; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
System Simulation and Scientific Computing, 2008. ICSC 2008. Asia Simulation Conference - 7th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1786-5
Electronic_ISBN
978-1-4244-1787-2
Type
conf
DOI
10.1109/ASC-ICSC.2008.4675360
Filename
4675360
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