A new rail optimisation model by integration of traffic management and train automation

Rao, Xiaolu; Montigel, Markus; Weidmann, Ulrich

doi:10.1016/j.trc.2016.08.011

Cited by 29 publications

(16 citation statements)

References 20 publications

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“…The architecture of a C-DAS depends on the allocation of the intelligence between the control center and the train. Three main different ways of distributing the DAS intelligence can be identified (Panou et al, 2013;Rao et al, 2016):…”

Section: Literature Reviewmentioning

confidence: 99%

A coupled flood-agent-institution modelling (CLAIM) framework for urban flood risk management

Abebe

Ghorbani

Nikolič

et al. 2019

Environmental Modelling & Software

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This paper proposes an approach to facilitate smooth merging of freight trains into a stream of passenger trains with short headways, to help drivers better control freight trains and avoid red signals. An algorithm architecture is proposed for Driver Advisory Systems (DASs) to compute time/speed advice for freight train drivers. The framework includes four parts: buffer stairway prediction, freight train movement prediction, merging window detection and merging optimization. The basic idea is to predict the traffic state in the merging area regularly and find the feasible merging time window. Proper advice can be presented to freight train drivers and help them to merge smoothly, by comparing the freight train movement to the feasible merging window. The performance of the proposed algorithms is illustrated on examples of merging freight trains in the Meteren and Kijfhoek areas on the Dutch railway network. The experimental results show the efficiency and quality of the proposed algorithms on real world size problems. In the Amsterdam Westhaven area, a concept for advising freight trains departing from standstill is now accepted using the

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Section: Literature Reviewmentioning

confidence: 99%

A coupled flood-agent-institution modelling (CLAIM) framework for urban flood risk management

Abebe

Ghorbani

Nikolič

et al. 2019

Environmental Modelling & Software

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“…A driverless configuration could be applied where there is no interaction with pedestrian and car driver to increase the human driver attention and vigilance and to increase the eco-driving performance as in Rao's Work (Rao et al, 2016). When the vehicle interacts with pedestrians, cars and other trains, CEDRICS may activate another controller that assesses an advice dedicated to the human operator to support the manual eco-driving.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Design of a cooperative eco-driving rail control system: an experimental study

Delfa¹,

Enjalbert²,

Polet³

et al. 2019

Cogn Tech Work

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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“…In this situation, the scheduling and routing of AGVs is very similar to that of scheduled rail systems [35][36][37] temporal resource can only be occupied by at most one train. It can be shown that the scheduling and routing of AGVs are also a variant of the vehicle routing problem, and the readers can refer to [32,38] for detailed reviews on the corresponding solution approach and applications of AGVs.…”

Section: Discussionmentioning

confidence: 99%

Open-source VRPLite Package for Vehicle Routing with Pickup and Delivery: A Path Finding Engine for Scheduled Transportation Systems

Zhou

Mahmoudi

et al. 2018

Urban Rail Transit

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Recently, automation, shared use, and electrification are viewed as the ''three revolutions'' in the future transportation sector, and the traditional scheduled public transit system will be greatly enhanced with flexible services and autonomous vehicle scheduling capabilities. Many emerging scheduled transportation applications include the fully automatic operation system in urban rail transit, joint line planning, and timetabling for high-speed rail as well as emerging self-driving vehicle dispatching. The vehicle routing problem (VRP) holds promise for seeking an optimal set of vehicle routes and schedules to meet customers' requirements and plays a vital role in optimizing services for feature scheduled transportation systems. Due to the difficulty of finding optimal solutions for large-scale instances, enormous research efforts have been dedicated to developing efficient algorithms, while our paper presents a unique perspective based on a timedependent and state-dependent path searching framework. An open-source and light-weight VRP with pickup and delivery with time windows (VRPPDTW) modeling package, namely VRPLite, has been developed in this research to provide a high-quality and computationally efficient solution engine for transportation on demand applications. This paper describes the space-time-state

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A new rail optimisation model by integration of traffic management and train automation

Cited by 29 publications

References 20 publications

A coupled flood-agent-institution modelling (CLAIM) framework for urban flood risk management

A coupled flood-agent-institution modelling (CLAIM) framework for urban flood risk management

Design of a cooperative eco-driving rail control system: an experimental study

Open-source VRPLite Package for Vehicle Routing with Pickup and Delivery: A Path Finding Engine for Scheduled Transportation Systems

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