The use of microsimulation models for the planning and management of metro systems

Placido, Antonio; D’Acierno, Luca; Montella, Bruno

doi:10.2495/cr140421

Cited by 22 publications

(16 citation statements)

References 37 publications

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“…Travel demand was estimated according to [63], and the simulation model was calibrated in terms of infrastructure, signalling system, rolling stock and timetable as shown by [64]. Moreover, in order to investigate the sensitivity of the methodology to different crowding conditions, the proposed approach was applied in relation to three different levels of travel demand obtained by means of the first type of surveys, whose results, expressed in terms of a distribution function, are shown in Fig.…”

Section: Application Of the Methodology In The Case Of A Real Metro Linementioning

confidence: 99%

Methodology for Determining Dwell Times Consistent with Passenger Flows in the Case of Metro Services

et al. 2017

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The importance of a mobility system based on railway technology as the backbone of public transport is now widely acknowledged. Indeed, rail systems are green, high performing, smart and able to ensure a high degree of safety. Therefore, modal split should be steered towards rail transport by increasing the attractiveness of this transport mode. In this context, a key element is represented by the timetabling design phase, which must aim to guarantee an appropriate degree of robustness of rail operations in order to ensure a high degree of system reliability and increase service quality. A crucial factor in the task of timetabling entails evaluating dwell times at stations. The innovative feature of this paper is the analytical definition of dwell times as flow dependent. Our proposal is based on estimating dwell times according to the crowding level at platforms and related interaction between passengers and the rail service in terms of user behaviour when a train arrives. An application in the case of a real metro system is provided in order to show the feasibility of the proposed approach.

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Section: Application Of the Methodology In The Case Of A Real Metro Linementioning

confidence: 99%

Methodology for Determining Dwell Times Consistent with Passenger Flows in the Case of Metro Services

et al. 2017

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“…Moreover, [19][20][21][22] recently investigated effects of rail service disruptions on the behaviour of passengers waiting on platforms. Finally, [23] and [24] analysed the planning of rail services by adopting different driving strategies.…”

Section: Introductionmentioning

confidence: 99%

Replanning public transport services in the case of budget reductions

D’Acierno¹,

Gallo

Biggiero³

et al. 2014

WIT Transactions on the Built Environment

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The planning of an efficient and effective public transport system is a key element in managing modern mobility both in densely populated urban areas and in peripheral and/or rural areas where the population densities are considerably lower. Indeed, the presence of public transport designed to meet travel demand could allow a reduction in negative externalities produced by private cars without excessively penalising user travel times or accessibility to different zones. However, the recent financial crisis has forced many public administrations to reduce resources allocated to public services and replan related services in order to mitigate negative effects on users. In this context, we propose two methods for replanning public transport services in the case of budget reductions. The first approach, indicated as CLP (Change the Least Possible), can be adopted when the initial services are actually able to satisfy user needs and in some time slots are probably surplus to requirements. The second approach, CFR (Change the FRamework), instead, should be used when the initial services are already inadequate or barely sufficient to serve users in the study area. Indeed, in the latter case, it is very difficult to eliminate some runs without producing a significant reduction in levels of service. Finally, the proposed methodology has been applied by our research group when replanning bus services in the provinces of Naples and Avellino, in southern Italy, where we implemented respectively the CLP and CFR approaches by solving some problems related to interference with pre-existing planning tools.

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“…In particular, passenger flows, estimated by means of methods described in ercolani et al [44], were evaluated according to three travel demand levels (see, for instance, Fig. 2): a 50th percentile corresponding to average conditions, an 85th percentile which indicates high demand conditions and a 95th percentile which denotes extremely high demand conditions.…”

Section: Application To a Real Metro Linementioning

confidence: 99%

A neighbourhood search algorithm for determining optimal intervention strategies in the case of metro system failures

Botte¹,

Salvo²,

Placido³

et al. 2017

Int. J. TDI

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In high-density contexts, such as urban or metropolitan areas, decision makers and mobility managers have to adopt suitable strategies to reduce the use of private cars and promote public transport. Indeed, such strategies may help abate the negative impacts of transportation systems (congestion, air and noise pollution, etc.). However, appropriate measures are only effective if based on the provision of high-quality public transport services. Such aims can be achieved by organizing public transport within an integrated framework where rail/metro services are the high-performing mobility backbone and bus services have a feeder function, increasing the geographical coverage of rail services. However, since a faulty train cannot be easily removed or overtaken, a rail/metro system is highly vulnerable to system breakdowns which could entail significant reductions in system quality. Suitable intervention strategies therefore have to be developed to manage rail system emergencies. The aim of this article is to provide a method to determine optimal intervention strategies in the case of a metro system failure. Since in real contexts an exhaustive approach has to be excluded due to the huge number of alternative solutions to be evaluated, it is necessary to adopt or develop appropriate algorithms to obtain sub-optimal solutions within suitable computational times. Hence a Neighbourhood Search Algorithm to identify the optimal solution is applied and tested in the case of a real metro line in order to show the feasibility of our proposal.

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The use of microsimulation models for the planning and management of metro systems

Cited by 22 publications

References 37 publications

Methodology for Determining Dwell Times Consistent with Passenger Flows in the Case of Metro Services

Methodology for Determining Dwell Times Consistent with Passenger Flows in the Case of Metro Services

Replanning public transport services in the case of budget reductions

A neighbourhood search algorithm for determining optimal intervention strategies in the case of metro system failures

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