Integrated Traffic Management using Data from Traffic, Asset Conditions, Energy and Emissions

Integrated Traffic Management using Data from Traffic, Asset Conditions, Energy and Emissions

Thomas Böhm (German Aerospace Center (DLR), Germany), Christoph Lackhove (German Aerospace Center (DLR), Germany) and Michael Meyer zu Hörste (German Aerospace Center (DLR), Germany)
DOI: 10.4018/978-1-5225-0084-1.ch017
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The traffic management is the core of the railway operations control technology. It receives the timetable information as a target definition and advises the command control and signaling systems to execute the rail traffic. Hence the traffic management system (TMS) has to take into account many sources of requests towards the traffic operation e.g. coming from the maintenance planning or the power supply system and to optimize the operation with respect to many criteria as e.g. punctuality, energy consumption, capacity and infrastructure wear. This chapter shows the sources of information for the TMS as well the resulting criteria. The final approach to configure a specific has to be done with respect to a specific application.
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Background: Proposed Structure And Elements Of A (Future) Tms

Modern TMS and even more future TMS are receiving or requesting more and more data from different sources. Age, quality and content of those data will be spread more than in past. The Figure 1 shows some of the sources and receivers of information of the TMS in the real-time environment. Naturally the TMS receives the timetable and network structure from the planning and collects data for the later analysis and controlling. The TMS is the core of the integrated mobility management in middle of Figure 1. It receives and sends information to individual customer interfaces as smart phones as well as public ones as the information pages in the internet. On the other side of the middle column it exchanges information with the control, command and signaling systems which are the interlocking and train control systems. Those systems can be trackside or onboard of the trains, too.

Figure 1.

Real-time data exchange of the TMS


To make the optimal decision in the case of deviations from the original timetable the TMS has to take into consideration information from many other sources. Four examples are given in Figure 1. The timetables or – if available – the real-time information from other transportation systems have to be used to ensure the best service for the traveler. The maintenance management can deliver information about the status of the infrastructure and vehicles. It will be able in the future to give a prognosis, too. The power and energy management can support the TMS to decide in an energy-efficient way. Finally the interface for collaborative decision making can help to bridge the gap to other decision processes. Therefore the traffic management of public transport systems has to ensure that the transport system delivers the best quality of service to the customer. It has to take into account influences from many sources:

  • Customer demand

  • Current traffic status of the transport system by the command, control and signaling system

  • Asset conditions and predictions

  • Power/energy management

  • Maintenance management

  • Minimized power consumption

  • Local reduction of noise and other emissions

Key Terms in this Chapter

Asset and Maintenance Management System (AMM): The systems, which are collecting the status of the assets and planning the maintenance activities.

Prediction: Estimating the remaining time until the maintenance of an asset is required.

Energy-Efficiency: Train driving style which leads to the minimal energy consumption.

Command-Control and Signaling System (CCS): The systems, which are ensuring the safe operation of the railways as e.g. the train control system or the interlocking.

Traffic Management System (TMS): A system, which advises the command-control and signaling system and receives for this purpose information about the current traffic situation and future demand and disturbances from other systems.

Condition-Based Maintenance: Performing the maintenance works according to the condition or status of the asset and not (only) according to a pre-planned schedule.

Disturbance: Any external or internal event or influence, which leads to difference between the timetable and the actual train run.

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