Demand Adaptive Systems: Some Proposals on Flexible Transit1

Malucelli, Federico; Nonato, Maddalena; Pallottino, Stefano

doi:10.1057/9780230372924_8

Cited by 31 publications

(21 citation statements)

References 5 publications

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“…Requests that cannot be satisfied within the limits of the present master schedule are rejected. Several specific methods and algorithms have been developed to address the DAS1 operating policy (Malucelli et al 1999Crainic et al 2005). The method adopted for this experiment first decomposes on a per segment basis the vehicle itinerary and looks for a collection of possible good partial itineraries (calculated by Lagrangian Relaxation).…”

Section: Impact Of the Master Schedulesmentioning

confidence: 99%

“…The DAS operations considered here follow the so-called DAS1 policy (Malucelli et al 1999). Given a DAS line, its master schedule, and a set of transportation requests, the actual itinerary and schedule of the vehicle is determined for each departure.…”

Section: Impact Of the Master Schedulesmentioning

confidence: 99%

“…With the purpose of addressing the issues mentioned above, a demand-responsive system different from DAR, denoted Demand-Adaptive System (DAS), was formally introduced (Malucelli et al 1999) and then treated in more general contexts (Crainic et al 2000(Crainic et al , 2005Malucelli et al 2001). A similar system called MAST has been introduced later by Quadrifoglio et al (2007).…”

Section: Introductionmentioning

confidence: 99%

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Designing the master schedule for demand-adaptive transit systems

et al. 2010

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Demand-Adaptive Systems (DASs) offer demand responsive services within the framework of traditional scheduled bus transportation. A DAS bus line serves a set of compulsory stops according to a predefined schedule, which specifies the time windows associated with each stop. Passengers may issue requests for transportation involving optional stops, that induce detours in the vehicle route. The design of a DAS line is therefore a complex planning process that requires to select the compulsory stops and to determine the line master schedule in terms of a time window for each such stop. \ud In this paper, we focus on determining the master schedule for a single DAS line. We propose a mathematical description and a solution method based on probabilistic approximations of several DAS line core characteristics. Results of numerical experiments are also given and analyzed

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Section: Impact Of the Master Schedulesmentioning

confidence: 99%

Section: Impact Of the Master Schedulesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Designing the master schedule for demand-adaptive transit systems

et al. 2010

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“…Quadrifoglio et al (2006) develop bounds on the maximum longitudinal velocity to evaluate the performance of such systems, and Quadrifoglio et al (2007b) developed an insertion algorithm to schedule a MAST system; in this paper the efficient use of control parameters significantly improved the performance of the algorithm. Malucelli et al (1999) also approached the problem including it in a general overview of flexible transportation systems. Crainic et al (2001) described the MAST concept and incorporated it in a more general network setting providing also a mathematical formulation.…”

Section: Introductionmentioning

confidence: 99%

Service capacity design problems for mobility allowance shuttle transit systems

Zhao

Dessouky

2008

Transportation Research Part B: Methodological

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“…Daganzo (1984) describes a checkpoint DRT system that combines the characteristics of both fixed route and door-to-door service. Malucelli et al (1999) provide a general overview of flexible transportation systems. Crainic et al (2001) incorporate the hybrid fixed and flexible concept in a more general network setting.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Analyses over the Service Area for Mobility Allowance Shuttle Transit (MAST) Services

Quadrifoglio

Dessouky

Lecture Notes in Economics and Mathematical Systems

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A Mobility Allowance Shuttle Transit (MAST) system is an innovative concept that merges the flexibility of Demand Responsive Transit (DRT) systems with the low cost operability of fixed-route bus systems. It allows vehicles to deviate from the fixed path so that customers within the service area may be picked up or dropped off at their desired locations. In this paper, we summarize the insertion heuristic presented by Quadrifoglio et al. (2005a) for routing and scheduling MAST services and we carry out a set of simulations to show a sensitivity analysis of the performance of the algorithm and the capacity of the system over different shapes of the service area. The results show that a slim service area performs better in general, but also that the positive effects of a proper setting of the control parameters of the heuristic is much more evident for wider service areas. In addition, a performance comparison shows that MAST systems can provide a better service to customers than fixed-route ones even for slim service area.

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Demand Adaptive Systems: Some Proposals on Flexible Transit1

Cited by 31 publications

References 5 publications

Designing the master schedule for demand-adaptive transit systems

Designing the master schedule for demand-adaptive transit systems

Service capacity design problems for mobility allowance shuttle transit systems

Sensitivity Analyses over the Service Area for Mobility Allowance Shuttle Transit (MAST) Services

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