GH
G.A.M. Hornung
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1 records found
1
Master thesis
(2023)
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G.A.M. Hornung, Vasso Reppa, E. Quaglietta, D Middelkoop, R.M.P. Goverde, B. Atasoy
The Dutch railway network is a dense network with 7000 kilometers of railway tracks spread over only 42,000 square kilometers [1, 2]. Additionally, the railways are responsible for 1.4 million passengers every working day [1]. These factors make both the infrastructure and timetable of the Dutch railway network extremely intricate. On top of that, the number of train trips is expected to grow by 40% by 2040 [3], and with that the complexity of managing the railway network will increase even more.
In the case of conflicts in the timetable, action must be taken to resolve these conflicts in order for train operations to continue. In current Dutch practice, this task resides with train dispatchers. However, it can be difficult for the dispatcher to oversee the situation when multiple trains are involved, and actions taken will have consequences for other trains. This increasingly complex task has resulted in growing interest in so-called Traffic Management Systems (TMS), which are intelligent systems that use conflict resolution algorithms to find solutions to timetable conflicts.
A TMS can be used to support train dispatchers in managing railway traffic. ...
In the case of conflicts in the timetable, action must be taken to resolve these conflicts in order for train operations to continue. In current Dutch practice, this task resides with train dispatchers. However, it can be difficult for the dispatcher to oversee the situation when multiple trains are involved, and actions taken will have consequences for other trains. This increasingly complex task has resulted in growing interest in so-called Traffic Management Systems (TMS), which are intelligent systems that use conflict resolution algorithms to find solutions to timetable conflicts.
A TMS can be used to support train dispatchers in managing railway traffic. ...
The Dutch railway network is a dense network with 7000 kilometers of railway tracks spread over only 42,000 square kilometers [1, 2]. Additionally, the railways are responsible for 1.4 million passengers every working day [1]. These factors make both the infrastructure and timetable of the Dutch railway network extremely intricate. On top of that, the number of train trips is expected to grow by 40% by 2040 [3], and with that the complexity of managing the railway network will increase even more.
In the case of conflicts in the timetable, action must be taken to resolve these conflicts in order for train operations to continue. In current Dutch practice, this task resides with train dispatchers. However, it can be difficult for the dispatcher to oversee the situation when multiple trains are involved, and actions taken will have consequences for other trains. This increasingly complex task has resulted in growing interest in so-called Traffic Management Systems (TMS), which are intelligent systems that use conflict resolution algorithms to find solutions to timetable conflicts.
A TMS can be used to support train dispatchers in managing railway traffic.
In the case of conflicts in the timetable, action must be taken to resolve these conflicts in order for train operations to continue. In current Dutch practice, this task resides with train dispatchers. However, it can be difficult for the dispatcher to oversee the situation when multiple trains are involved, and actions taken will have consequences for other trains. This increasingly complex task has resulted in growing interest in so-called Traffic Management Systems (TMS), which are intelligent systems that use conflict resolution algorithms to find solutions to timetable conflicts.
A TMS can be used to support train dispatchers in managing railway traffic.