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Genetic algorithm for multiple bus line coordination on urban arterial.

Yang Z, Wang W, Chen S, Ding H, Li X - Comput Intell Neurosci (2015)

Bottom Line: Bus travel time on road section is defined and analyzed with the effect of multiple bus lines.An analytical model is formulated to calculate the total red time a bus encounters when travelling along the arterial.The results show that the methods in this paper can reduce total red time of all the bus lines by 31.9% on the object arterial and thus improve the traffic efficiency of the whole arterial and promote public transport priority.

View Article: PubMed Central - PubMed

Affiliation: Jiangsu Key Laboratory of Urban ITS, Southeast University, 2 Si Pai Lou, Nanjing 210096, China ; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, 2 Si Pai Lou, Nanjing 210096, China.

ABSTRACT
Bus travel time on road section is defined and analyzed with the effect of multiple bus lines. An analytical model is formulated to calculate the total red time a bus encounters when travelling along the arterial. Genetic algorithm is used to optimize the offset scheme of traffic signals to minimize the total red time that all bus lines encounter in two directions of the arterial. The model and algorithm are applied to the major part of Zhongshan North Street in the city of Nanjing. The results show that the methods in this paper can reduce total red time of all the bus lines by 31.9% on the object arterial and thus improve the traffic efficiency of the whole arterial and promote public transport priority.

Show MeSH
Average trend of objective function value.
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig4: Average trend of objective function value.

Mentions: To solve the problem of coordination control for multiple bus lines in this paper, a procedure of GA has been developed with python 3.0 and runs for 60 times. The average trend of objective function value (total red time RT) is shown in Figure 4 and the distribution of optimal objective function values is listed in Table 3.


Genetic algorithm for multiple bus line coordination on urban arterial.

Yang Z, Wang W, Chen S, Ding H, Li X - Comput Intell Neurosci (2015)

Average trend of objective function value.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4309291&req=5

fig4: Average trend of objective function value.
Mentions: To solve the problem of coordination control for multiple bus lines in this paper, a procedure of GA has been developed with python 3.0 and runs for 60 times. The average trend of objective function value (total red time RT) is shown in Figure 4 and the distribution of optimal objective function values is listed in Table 3.

Bottom Line: Bus travel time on road section is defined and analyzed with the effect of multiple bus lines.An analytical model is formulated to calculate the total red time a bus encounters when travelling along the arterial.The results show that the methods in this paper can reduce total red time of all the bus lines by 31.9% on the object arterial and thus improve the traffic efficiency of the whole arterial and promote public transport priority.

View Article: PubMed Central - PubMed

Affiliation: Jiangsu Key Laboratory of Urban ITS, Southeast University, 2 Si Pai Lou, Nanjing 210096, China ; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, 2 Si Pai Lou, Nanjing 210096, China.

ABSTRACT
Bus travel time on road section is defined and analyzed with the effect of multiple bus lines. An analytical model is formulated to calculate the total red time a bus encounters when travelling along the arterial. Genetic algorithm is used to optimize the offset scheme of traffic signals to minimize the total red time that all bus lines encounter in two directions of the arterial. The model and algorithm are applied to the major part of Zhongshan North Street in the city of Nanjing. The results show that the methods in this paper can reduce total red time of all the bus lines by 31.9% on the object arterial and thus improve the traffic efficiency of the whole arterial and promote public transport priority.

Show MeSH