Search Results - subject:"Flow Control"

Optimization of passenger flow control and customized bus bridging in urban rail transit network

Zhao, Qingqing; Tang, Jinjin; Li, Chao; Dong, Qiuhan; … - In: Computers & operations research : an international journal 178 (2025), pp. 1-18

Persistent link: https://www.econbiz.de/10015338556

The use of reinforcement learning for material flow control : an assessment by simulation

He, Zhiliang; Thürer, Matthias; Zhou, Wanling - In: International journal of production economics 274 (2024), pp. 1-10

Persistent link: https://www.econbiz.de/10015051501

Robust metro train scheduling integrated with skip-stop pattern and passenger flow control strategy under uncertain passenger demands

Hu, Yuting; Li, Shukai; Wang, Yihui; Zhang, Huimin; Wei, Yun - In: Computers & operations research : and their … 151 (2023), pp. 1-16

Persistent link: https://www.econbiz.de/10014234903

Online passenger flow control in metro lines

Liang, Jinpeng; Lyu, Guodong; Teo, Chung-Piaw; Gao, Ziyou - In: Operations research 71 (2023) 2, pp. 768-775

Persistent link: https://www.econbiz.de/10014308637

Reducing passenger waiting time in oversaturated metro lines with passenger flow control policy

Liang, Jinpeng; Zang, Guangzhi; Liu, Haitao; Zheng, Jianfeng - In: Omega : the international journal of management science 117 (2023), pp. 1-19

Persistent link: https://www.econbiz.de/10014281851

A new perspective on traffic control management using triangular interval type-2 fuzzy sets and interval neutrosophic sets

Nagarajana, D.; Lathamaheswaria, M.; Broumib, Said; … - In: Operations Research Perspectives 6 (2019), pp. 1-13

Controlling traffic flow on roads is an important traffic management task necessary to ensure a peaceful and safe environment for people. The number of cars on roads at any given time is always unknown. Type-2 fuzzy sets and neutrosophic sets play a vital role in dealing efficiently with such...

Persistent link: https://www.econbiz.de/10012662760

A new perspective on traffic control management using triangular interval type-2 fuzzy sets and interval neutrosophic sets

Nagarajana, D.; Lathamaheswaria, M.; Broumib, Said; … - In: Operations research perspectives 6 (2019), pp. 1-13

Persistent link: https://www.econbiz.de/10012029397

Dynamic scheduling in make-to-stock production systems with setup times and random breakdowns : performance analysis and improved policies

Tubilla, Fernando; Gershwin, Stanley B. - In: International journal of production research 60 (2022) 10, pp. 3263-3281

Persistent link: https://www.econbiz.de/10013499138

Real-time optimization of train regulation and passenger flow control for urban rail transit network under frequent disturbances

Yuan, Yin; Li, Shukai; Yang, Lixing; Gao, Ziyou - In: Transportation research / E : an international journal 168 (2022), pp. 1-31

Persistent link: https://www.econbiz.de/10013535806

Improving superfluous load avoidance release (SLAR) : a new load-based SLAR mechanism

Thürer, Matthias; Stevenson, Mark A. - In: International journal of production economics 231 (2021), pp. 1-8

Persistent link: https://www.econbiz.de/10012415015