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Evaluating timetables' capacity utilisation with an extended event-activity network method

Evaluating timetables' capacity utilisation with an extended event-activity network method
Evaluating timetables' capacity utilisation with an extended event-activity network method
When scheduling a timetable for a busy network, it is hard to ignore the routing problem because stations which act as network nodes contain many conflicting train movements. Traditionally, timetable generation and routing problems are macroscopic and microscopic works, respectively. As a result, recurrent adjustments, or challenging timetabling coordination among different parts of the network will lead to overall railway planning inefficiency. Therefore, an extended event-activity network (EEAN) model is designed to solve the integrated timetable generation and routing (ITGR) problem. The objective function is to minimise the timespan of a given train line plan, and the timespan is defined as capacity utilisation. A preferred-order heuristic algorithm is designed as a solution to the EEAN model. The study takes a Beijing-Shanghai-based network as the case scenario. The testing results show that the train order has a significant impact on capacity utilisation.
Li, Jiaxi
14fc8d60-82df-45fb-9bfc-1c6752ad3045
Preston, Jonathan
ef81c42e-c896-4768-92d1-052662037f0b
Armstrong, John
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Yang, Wuyang
bf7a6107-02f0-4538-870f-f599f8718f6e
Li, Jiaxi
14fc8d60-82df-45fb-9bfc-1c6752ad3045
Preston, Jonathan
ef81c42e-c896-4768-92d1-052662037f0b
Armstrong, John
5fafa91e-39c1-4d1d-a331-564558aaa638
Yang, Wuyang
bf7a6107-02f0-4538-870f-f599f8718f6e

Li, Jiaxi, Preston, Jonathan, Armstrong, John and Yang, Wuyang (2023) Evaluating timetables' capacity utilisation with an extended event-activity network method. RailBelgrade 2023: The 10th International Conference on Railway Operations Modelling and Analysis, University of Belgrade, Belgrade, Serbia. 25 - 28 Apr 2023. 18 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

When scheduling a timetable for a busy network, it is hard to ignore the routing problem because stations which act as network nodes contain many conflicting train movements. Traditionally, timetable generation and routing problems are macroscopic and microscopic works, respectively. As a result, recurrent adjustments, or challenging timetabling coordination among different parts of the network will lead to overall railway planning inefficiency. Therefore, an extended event-activity network (EEAN) model is designed to solve the integrated timetable generation and routing (ITGR) problem. The objective function is to minimise the timespan of a given train line plan, and the timespan is defined as capacity utilisation. A preferred-order heuristic algorithm is designed as a solution to the EEAN model. The study takes a Beijing-Shanghai-based network as the case scenario. The testing results show that the train order has a significant impact on capacity utilisation.

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Evaluating Timetables' Capacity Utilisation with An Extended Event-activity Network Method-2102 - Accepted Manuscript
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Published date: 26 April 2023
Venue - Dates: RailBelgrade 2023: The 10th International Conference on Railway Operations Modelling and Analysis, University of Belgrade, Belgrade, Serbia, 2023-04-25 - 2023-04-28

Identifiers

Local EPrints ID: 481610
URI: http://eprints.soton.ac.uk/id/eprint/481610
PURE UUID: 4cc6eae9-5fba-4efa-96cf-86a44fa04ffc
ORCID for Jiaxi Li: ORCID iD orcid.org/0000-0001-6298-5747
ORCID for Jonathan Preston: ORCID iD orcid.org/0000-0002-6866-049X
ORCID for John Armstrong: ORCID iD orcid.org/0000-0002-2648-6307

Catalogue record

Date deposited: 05 Sep 2023 16:32
Last modified: 18 Mar 2024 03:58

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Contributors

Author: Jiaxi Li ORCID iD
Author: John Armstrong ORCID iD
Author: Wuyang Yang

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