Decision support for simulating the car park activity in an urban area

Boussier, Jean-Marie; Sarramia, David; Estraillier, Pascal

doi:10.1002/atr.5670430203

Cited by 2 publications

(3 citation statements)

References 13 publications

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“…It is a new extension of Dempster‐Schafer theory (Shafer, 1976) which, efficiently takes into account the doubt during a decision‐making process and the conflict between information sources. The fusion process (exhaustively detailed in our past works (Boussier et al , 2009) is briefly resumed below.…”

Section: Simulation Of the Sharing Of The Parking Placesmentioning

confidence: 99%

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Simulation of goods delivery process

Boussier

Cucu

Ion

et al. 2011

International Journal of Physical Distribution &Amp; Logistics Management

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PurposeThis paper claims that the parking policy is one of the most obvious tools for reducing traffic congestion, pollutant emissions and conflicts between transportation network users. The purpose of this paper is to propose and implement a strategy, via a simulation tool, for the sharing of parking places between light cars and vans for goods delivery.Design/methodology/approachTemporal and spatial dynamic booking of on‐street parking places is described by using the multi‐agent paradigm. Main agents concerned by the sharing of parking places, their rules and interactions are implemented. Behavioral models and learning process of cognitive agents based on stated preferences collected beside the network users are designed for capturing multi‐agent interactions.FindingsBy coupling a 2D traffic simulation tool and the Copert III methodology, it is possible to simulate the traffic and environmental consequences of several scenarios for different infrastructures, occupancy rate of the places reserved for goods delivery and durations of the delivery process.Research limitations/implicationsSeveral points are under development: a 3D environment will capture with more realism the behavior of agents in a larger spatial scale and in real time. The behavioral models will be designed by stated preferences obtained from surveys containing questions coupled with pictures of possible scenarios.Practical implicationsApplied in a real context, the sharing of parking places strategy shows benefits for traffic and for the environment. A decision maker can use this strategy for simulating scenarios, in the context of an urban area in particular.Originality/valueThe paper demonstrates how a simulation tool based on strategy of parking place sharing can satisfy constraints of transportation network users.

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Section: Simulation Of the Sharing Of The Parking Placesmentioning

confidence: 99%

“…The principle of the learning mechanism based on the stated preferences analysis is shown in Figure 6. It has been presented exhaustively in our past works (Boussier et al , 2009).…”

Section: Simulation Of the Sharing Of The Parking Placesmentioning

confidence: 99%

Simulation of goods delivery process

Boussier

Cucu

Ion

et al. 2011

International Journal of Physical Distribution &Amp; Logistics Management

View full text Add to dashboard Cite

show abstract

“…For many, public transportation provides a viable alternative during peak travel periods. However, the continuous evolution of travel patterns combined with increasing expectations in terms of flexibility is consolidating individual preferences towards the use of personal vehicles 1–4. Consequently, the rate of car ownership has increased in most urban areas and the market share of sustainable modes of travel (public transit, active transportation) has declined.…”

Section: Introductionmentioning

confidence: 99%

Understanding members' carsharing (activity) persistency by using econometric model

Morency

Habib

Grasset

et al. 2010

J of Advced Transportation

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SUMMARYCarsharing is an innovative travel alternative that has recently experienced considerable growth and become part of sustainable transportation initiatives. Although carsharing is becoming increasingly a popular alternative transportation mode in North America, it is still an under-researched area. Current research is aimed at better understanding of the behavior of carsharing users. For every member, a two-stage approach microsimulates the probability of being active in any month using a binary probit model and given that a particular member is active during a month, the probability of that member using the service multiple times using a random utility-based model. The model is estimated using empirical data from one of the largest carsharing companies in North America. The model estimates reveal that the activity persistency of members is positively linked to previous behaviors for up to 4 months, and that the influence of previous months weakens over time. It also shows that some attributes of the traveler (gender, age, and language spoken at home) impact his or her behaviors.

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Decision support for simulating the car park activity in an urban area

Cited by 2 publications

References 13 publications

Simulation of goods delivery process

Simulation of goods delivery process

Understanding members' carsharing (activity) persistency by using econometric model

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