A data-driven hybrid control framework to improve transit performance

2019 ◽  
Vol 107 ◽  
pp. 387-410 ◽  
Author(s):  
Wensi Wang ◽  
Jiaming Liu ◽  
Baozhen Yao ◽  
Yonglei Jiang ◽  
Yunpeng Wang ◽  
...  
2021 ◽  
Author(s):  
Saman Sarraf ◽  
Milton Kabia

Information technology (IT) companies implement multi-dimensional policy plans that include procedures, sub-plans, and instructions to outline their business scopes, targets, and communications. This work outlined the IT policy implementation plan designed by an imaginary company with a random name called Northcentral Cloud Consulting Firm (NCCF), containing proposed IT policies, milestones and roadmaps, control framework, stakeholder responsibilities, knowledge transfer plan, and leadership roles. As NCCF’s major customers seek data-driven solutions in cloud computing, the NCCF IT policy plan provides various data policies, including security and proper usage of machine learning services. The plan offers a detailed roadmap of its financial, geographical, and reputational expansion within three years. The IT policy plan also compromises an IT risk management, contingency, and emergency communication plan, mainly for protecting data and business continuity. Stakeholder responsibilities are incorporated into the IT policy plan, as NCCF considers any engagement with its customers as a collaborative effort in which both parties have and share several responsibilities.


2021 ◽  
Author(s):  
Yufan Yang ◽  
Weiming Chen ◽  
Lingxiang Zhou ◽  
Bote Zheng ◽  
Wei Xiao ◽  
...  

2020 ◽  
Vol 35 (6) ◽  
pp. 4644-4654 ◽  
Author(s):  
Shengyi Wang ◽  
Jiajun Duan ◽  
Di Shi ◽  
Chunlei Xu ◽  
Haifeng Li ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Hezhou Qu ◽  
Xiaoyue Xu ◽  
Steven Chien

The service quality of public transit, such as comfort and convenience, is an important factor influencing ridership and fare revenue, which also reflects the passengers’ perception to the transit performance. Passengers are frustrated while waiting to board a crowded train especially during the peak hours, while the fail-to-board (FtB) situation commonly exists. The service performance measures determined by deterministic passenger demand and service frequency cannot reflect the perceived service of passengers. With the automatic fare collection system data provided by Chengdu Metro, we develop a data-driven approach considering the joint probability of spatiotemporal passenger demand at stations based on posted train schedule to approximate passenger travel time (e.g., in-vehicle and out-of-vehicle times). It was found that the estimated wait time can reflect the actual situation as passengers FtB. The proposed modeling approach and analysis results would be useful and beneficial for transit providers to improve system performance and service planning.


2021 ◽  
Author(s):  
Saman Sarraf ◽  
Milton Kabia

Information technology (IT) companies implement multi-dimensional policy plans that include procedures, sub-plans, and instructions to outline their business scopes, targets, and communications. This work outlined the IT policy implementation plan designed by an imaginary company with a random name called Northcentral Cloud Consulting Firm (NCCF), containing proposed IT policies, milestones and roadmaps, control framework, stakeholder responsibilities, knowledge transfer plan, and leadership roles. As NCCF’s major customers seek data-driven solutions in cloud computing, the NCCF IT policy plan provides various data policies, including security and proper usage of machine learning services. The plan offers a detailed roadmap of its financial, geographical, and reputational expansion within three years. The IT policy plan also compromises an IT risk management, contingency, and emergency communication plan, mainly for protecting data and business continuity. Stakeholder responsibilities are incorporated into the IT policy plan, as NCCF considers any engagement with its customers as a collaborative effort in which both parties have and share several responsibilities.


2021 ◽  
Vol 12 (1) ◽  
pp. 737-750
Author(s):  
Jiaman Wu ◽  
Zhiqi Wang ◽  
Chenye Wu ◽  
Kui Wang ◽  
Yang Yu

2021 ◽  
Vol 54 (5) ◽  
pp. 241-246
Author(s):  
Fabio Bagagiolo ◽  
Adriano Festa ◽  
Luciano Marzufero

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