Taxi despatch: a fuzzy rule approach

Shrivastava, M.; Chande, P.K.; Monga, Amarpal Singh; Kashiwagi, Harumi

doi:10.1109/itsc.1997.660606

Cited by 12 publications

(5 citation statements)

References 3 publications

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“…Future work will consider mixed-criteria efficiency. Toward this end, we will investigate a new A-QoS formula that combines taxi-utilization level with taxi-proximity level in a fuzzy rule formulation-an approach that has been investigated in [22] and [23], albeit only for centralized taxi dispatch.…”

Section: Discussionmentioning

confidence: 99%

Performance of Multiagent Taxi Dispatch on Extended-Runtime Taxi Availability: A Simulation Study

Seow

Lee

2010

IEEE Trans. Intell. Transport. Syst.

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Section: Discussionmentioning

confidence: 99%

Performance of Multiagent Taxi Dispatch on Extended-Runtime Taxi Availability: A Simulation Study

Seow

Lee

2010

IEEE Trans. Intell. Transport. Syst.

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“…In the literature, most of works on the topic basically focus on customer waiting time minimization by proposing improved methods for rule-based systems. In this context, Shrivastava et al [SCMK97] describe a fuzzy model for rule selection and Alshamsi et al [AAR09] propose a new technique for dynamically divide the dispatch areas.…”

Section: Elementary Relationsmentioning

confidence: 99%

“…A classical rule-based taxi dispatching system. A taxi dispatching system based on the principles of the most common real-world systems (see for example [SCMK97], [LWCT04] or [AAR09]) is described in this section. The architecture of the current taxi dispatching systems are very similar to the system illustrated in Figure 1.…”

Section: Fleet Managementmentioning

confidence: 99%

Design and operation for an electric taxi fleet

Gacias

Meunier

2014

OR Spectrum

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Abstract. The deployment of electric taxi fleets is highly desirable from a sustainable point of view. Nevertheless, the weak autonomy of this kind of vehicles requires a careful operation. The way of managing such a fleet and the question of locating charging terminals for the vehicles are addressed in this paper. Methods for dealing with these tasks are proposed and their efficiency is proved through simulations.

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“…Several models have been developed in the past to study classical taxi systems or markets in the economic perspective. Most of them have used optimisation to devise better methods to dispatch a taxi to a client . Other studies have also focused in the same matching problem but using simulation‐based methods instead.…”

Section: Introductionmentioning

confidence: 99%

An agent‐based simulation model to assess the impacts of introducing a shared‐taxi system: an application to Lisbon (Portugal)

Martínez

Correia

Viegas

2014

J of Advced Transportation

122

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Summary This paper presents a new concept of urban shared‐taxi services. The proposed system has a new organisational design and pricing scheme that aims to use the capacity in traditional taxi services in a more efficient way. In this system, a taxi acting in ‘sharing’ mode offers lower prices to its clients, in exchange for them to accept sharing the vehicle with other persons who have compatible trips (time and space). The paper proposes and tests an agent‐based simulation model in which a set of rules for space and time matching between a request of a client and the candidate shared taxis is identified. It considers that the client is only willing to accept a maximum deviation from his or her direct route and establishes an objective function for selecting the best candidate taxi. The function considers the minimum travel time combination of pickup and drop‐off of all the pool of clients sharing each taxi while allowing to establish a policy of bonuses to competing taxis with certain number of occupants. An experiment for the city of Lisbon is presented with the objectives of testing the proposed simulation conceptual model and showing the potential of sharing taxis for improving mobility management in urban areas. Results show that the proposed system may lead to significant fare and travel time savings to passengers, while not jeopardising that much the taxi revenues. Copyright © 2014 John Wiley & Sons, Ltd.

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Taxi despatch: a fuzzy rule approach

Cited by 12 publications

References 3 publications

Performance of Multiagent Taxi Dispatch on Extended-Runtime Taxi Availability: A Simulation Study

Performance of Multiagent Taxi Dispatch on Extended-Runtime Taxi Availability: A Simulation Study

Design and operation for an electric taxi fleet

An agent‐based simulation model to assess the impacts of introducing a shared‐taxi system: an application to Lisbon (Portugal)

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