Modeling the effects of integrated bus drivers' schedule recovery and holding control strategy on the bus route schedule design
被引:0
|
作者:
Wu, Yinghui
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机构:
Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Dept Syst Engn, Shenyang 110004, Peoples R ChinaNortheastern Univ, State Key Lab Synthet Automat Proc Ind, Dept Syst Engn, Shenyang 110004, Peoples R China
Wu, Yinghui
[1
]
Tang, Jiafu
论文数: 0引用数: 0
h-index: 0
机构:
Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Dept Syst Engn, Shenyang 110004, Peoples R China
Dongbei Univ Finance & Econ, Coll Management Sci & Engn, Dalian 116025, Peoples R ChinaNortheastern Univ, State Key Lab Synthet Automat Proc Ind, Dept Syst Engn, Shenyang 110004, Peoples R China
Tang, Jiafu
[1
,2
]
Tang, Qianyu Poppy
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机构:
Liaoning Univ, Asia Australia Business Coll, Shenyang 110004, Peoples R ChinaNortheastern Univ, State Key Lab Synthet Automat Proc Ind, Dept Syst Engn, Shenyang 110004, Peoples R China
Tang, Qianyu Poppy
[3
]
机构:
[1] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Dept Syst Engn, Shenyang 110004, Peoples R China
[2] Dongbei Univ Finance & Econ, Coll Management Sci & Engn, Dalian 116025, Peoples R China
[3] Liaoning Univ, Asia Australia Business Coll, Shenyang 110004, Peoples R China
Bus schedule design;
Stochastic travel times;
Integrated bus drivers' schedule recovery and holding control strategy;
Monte Carlo method;
TIME;
POINTS;
D O I:
暂无
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
The bus route schedule design (BRSD) aims to generate the bus departure times at the predetermined timing points along the bus route, in which the uncertainty of bus travel times and certain operational strategy are considered to determine the amount of slack time allocated to each segment between two adjacent timing points. In this paper we proposes a cost-based expected value model for investigating the effects of integrated bus drivers' schedule recovery and holding control strategy (IBHS) on the BRSD. The proposed model allows a trade-off among various cost components associated with the planned bus schedule. Then, a Monte Carlo simulation based solution method is designed to solve the proposed model. Finally, an illustrative example is used to show the application of the proposed model and the effectiveness of IBHS. The findings show that IBHS outperforms the only holding control strategy (HCS) widely used in the literature in the terms of the total system cost (i.e., the sum of various cost components associated with the optimal bus schedule), and the effects of IBHS on the optimal slack time allocated to the bus route and various cost components are also explored.
机构:
South China Univ Technol, Wushan Rd, Guangzhou 510641, Guangdong, Peoples R ChinaSouth China Univ Technol, Wushan Rd, Guangzhou 510641, Guangdong, Peoples R China
Wu, Weitiao
论文数: 引用数:
h-index:
机构:
Liu, Ronghui
Jin, Wenzhou
论文数: 0引用数: 0
h-index: 0
机构:
South China Univ Technol, Wushan Rd, Guangzhou 510641, Guangdong, Peoples R ChinaSouth China Univ Technol, Wushan Rd, Guangzhou 510641, Guangdong, Peoples R China
[J].
Proceedings of The Seventh International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering,
2003,
: 81
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82