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
Link To Document :
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