Overview
In this project new models and a new (predictive) control approach are developed for anticipative management of railway traffic networks. The project aims at closing the loop between timetabling and train operations with a continuous feedback of train positions and field data to allow fast rescheduling of train paths in case of disturbances. Using predictions based on railway traffic models, optimization procedures will be developed for finding the most effective measures for regulating train traffic in case of disruptions. This model predictive control (MPC) approach must maintain an up-to-date feasible plan on a national network level with respect to the current state of the infrastructure (speed restrictions, blocked tracks), resources (rolling stock and crews), train delays, and expected conflicts.
The research contains three main ingredients: (1) Monitoring: developing a methodology to actively monitor train positions, speeds, and infrastructure availability, and to determine up-to-date running time estimates; (2) Predictive traffic modelling: developing a real-time railway traffic prediction model that can be updated continuously with the latest information and selected control decisions; and (3) Model predictive control: developing a model predictive control system that optimizes future control decisions by using predictions of the future behavior of the railway traffic.
Eligibility Requirement
Applicants should have an MSc degree with a background in systems and control, civil engineering, mathematics, computer science or a related field, and preferably a strong interest in railway operations, optimization, and data analysis. Fluency in spoken and written English is an essential requirement.
Conditions of employment
The successful candidates will be employed full-time by TU Delft for a fixed period of four years within which each candidate is expected to write a dissertation leading to a doctoral degree (PhD thesis). The starting salary for a PhD is € 2042 gross per month increasing to a maximum of € 2612 gross per month in the fourth year.
TU Delft offers an attractive benefits package, including a flexible work week, free high-speed Internet access from home, and the option of assembling a customized compensation and benefits package (the 'IKA'). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
Information and application
For more information about these positions, please contact Dr.ir. T.J.J. van den Boom (DCSC) a.j.j.vandenboom@tudelft.nl, or Dr. R.M.P. Goverde (T&P), r.m.p.goverde@tudelft.nl. For more information on the departments, see http://www.dcsc.tudelft.nl and http://www.transport.citg.tudelft.nl.
How to apply
please e-mail a detailed CV along with a letter of application and a course/grade list by 15 February 2010 to Ms. M.J.M.E. de Groot, Application-3mE@tudelft.nl. When applying for this position, make sure to mention vacancy number 3ME09.44.
Please kindly mention Scholarization.blogspot.com when applying for this opportunity
In this project new models and a new (predictive) control approach are developed for anticipative management of railway traffic networks. The project aims at closing the loop between timetabling and train operations with a continuous feedback of train positions and field data to allow fast rescheduling of train paths in case of disturbances. Using predictions based on railway traffic models, optimization procedures will be developed for finding the most effective measures for regulating train traffic in case of disruptions. This model predictive control (MPC) approach must maintain an up-to-date feasible plan on a national network level with respect to the current state of the infrastructure (speed restrictions, blocked tracks), resources (rolling stock and crews), train delays, and expected conflicts.
The research contains three main ingredients: (1) Monitoring: developing a methodology to actively monitor train positions, speeds, and infrastructure availability, and to determine up-to-date running time estimates; (2) Predictive traffic modelling: developing a real-time railway traffic prediction model that can be updated continuously with the latest information and selected control decisions; and (3) Model predictive control: developing a model predictive control system that optimizes future control decisions by using predictions of the future behavior of the railway traffic.
Eligibility Requirement
Applicants should have an MSc degree with a background in systems and control, civil engineering, mathematics, computer science or a related field, and preferably a strong interest in railway operations, optimization, and data analysis. Fluency in spoken and written English is an essential requirement.
Conditions of employment
The successful candidates will be employed full-time by TU Delft for a fixed period of four years within which each candidate is expected to write a dissertation leading to a doctoral degree (PhD thesis). The starting salary for a PhD is € 2042 gross per month increasing to a maximum of € 2612 gross per month in the fourth year.
TU Delft offers an attractive benefits package, including a flexible work week, free high-speed Internet access from home, and the option of assembling a customized compensation and benefits package (the 'IKA'). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
Information and application
For more information about these positions, please contact Dr.ir. T.J.J. van den Boom (DCSC) a.j.j.vandenboom@tudelft.nl, or Dr. R.M.P. Goverde (T&P), r.m.p.goverde@tudelft.nl. For more information on the departments, see http://www.dcsc.tudelft.nl and http://www.transport.citg.tudelft.nl.
How to apply
please e-mail a detailed CV along with a letter of application and a course/grade list by 15 February 2010 to Ms. M.J.M.E. de Groot, Application-3mE@tudelft.nl. When applying for this position, make sure to mention vacancy number 3ME09.44.
Please kindly mention Scholarization.blogspot.com when applying for this opportunity
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