2015
DOI: 10.1049/iet-its.2013.0084
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Empty vehicles management as a method for reducing passenger waiting time in Personal Rapid Transit networks

Abstract: Empty vehicles management may improve the average waiting time for vehicle delivery in the Personal Rapid Transit (PRT) network. In this study, original heuristic algorithm of empty vehicle management is presented. The algorithm is tested in several benchmark PRT structures under Feniks simulation environment. The results show that significant improvements of average waiting time may be achieved just because of the multi-parameter analysis of the present network state alone rather than by the predictive use of… Show more

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Cited by 25 publications
(23 citation statements)
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“…The traffic in the case of light rail was analyzed analytically, but it is impossible to make such calculations for PRT network. Therefore, the analysis has been completed using simulations in Feniks 4.0 environment [12,13,19]. The simulator was prepared under Eco-Mobility project, among several simulation-based analyses of PRT [12,13,[20][21][22].…”
Section: Traffic Simulation Of Prt Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…The traffic in the case of light rail was analyzed analytically, but it is impossible to make such calculations for PRT network. Therefore, the analysis has been completed using simulations in Feniks 4.0 environment [12,13,19]. The simulator was prepared under Eco-Mobility project, among several simulation-based analyses of PRT [12,13,[20][21][22].…”
Section: Traffic Simulation Of Prt Systemmentioning
confidence: 99%
“…In the next experiment, the input rate was increased twice (column 2 in Table 3, extreme conditions for the network). Now, the safety margin is only 1.35 (grey background; recommended at least 2 [12,13]). Indeed, the network works poorly, as the increase of input rate causes average queue length to rise four times (from 0.15 to 0.60, grey background).…”
Section: Traffic Simulation Of Prt Systemmentioning
confidence: 99%
“…The problem of dynamically managing empty vehicles within the PRT can be tackled as a dynamic routing and scheduling problem. Nevertheless, only few studies concerning empty vehicles management in PRT have been published [7,8].…”
Section: 2mentioning
confidence: 99%
“…Several studies related to PRT have focused on the feasibility and design of such a system [3][4][5][6] and, until recently, had sought to tackle operating issues in PRT, such as waiting times for passengers [7,8], dynamic routing [9][10][11], agentbased simulation [12], network design [13], fleet sizing [14], and energy consumption in both static [15][16][17][18] and dynamic context [19]. For more details on the PRT literature, the reader is referred to [1,20].…”
Section: Introductionmentioning
confidence: 99%
“…The function of doorto-door movement with a larger number of vehicles running on the network requires application of traffic control algorithm solutions. In order to design traffic control algorithm, the methods of mobile phones and event simulators were considered Mieścicki, Daszczuk 2013;Daszczuk et al 2015). The results of design work were published (Choromański, Kowara 2013a.…”
Section: Introductionmentioning
confidence: 99%