Title :
Bus stop spacing optimization based on uneven distribution of passenger flow
Author :
Gao Zheng-Wei ; Pang Ha-li ; Niu Guo-Dong ; Xu Zhen-Ning
Author_Institution :
Inst. of Syst. Eng., Northeastern Univ., Shenyang, China
Abstract :
As nodes of the public traffic network, bus stops play very important role. The basic function of bus stops is distributing passengers conveniently. The bus stop spacing optimization is equivalent to a bounded knapsack problem and is a complicated NP problem. It is important for improving the public traffic service, the efficiency and comfort of transportation, and the bus scheduling. In this paper, a bus stops spacing optimization model based on uneven distribution of passenger flow was proposed. And a corresponding genetic algorithm was designed for solution. Also, the influence of inconstant dispatch of public vehicles to stop spacing was analyzed qualitatively and quantitatively. The proposed model has been proved to be reasonable, practical and effective.
Keywords :
computational complexity; genetic algorithms; knapsack problems; transportation; bounded knapsack problem; bus scheduling; bus stop spacing optimization; complicated NP problem; genetic algorithm; passenger flow uneven distribution; public traffic network; public traffic service; Algorithm design and analysis; Cities and towns; Cost function; Electronic mail; Genetic algorithms; Road transportation; Systems engineering and theory; Telecommunication traffic; Traffic control; Vehicles; Bus Stops Spacing Optimization; Distribution of Passenger Flow; Genetic Algorithm;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5191902