Optimisation of parking guidance and information systems display configurations

Thompson, Russell G.; Takada, Kunimichi; Kobayakawa, Satoru

doi:10.1016/s0968-090x(00)00031-0

Cited by 76 publications

(35 citation statements)

References 3 publications

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“…If the target parking lot is desirable, drivers insist on selecting the target parking lot; otherwise, a parking choice is reconducted to minimize the parking disutility. By integrating a perceived waiting time, the parking disutility was calculated as follows [26]:…”

Section: Cruising For Vacant Spacesmentioning

confidence: 99%

Agent-Based Modelling and Simulation to Assess the Impact of Parking Reservation System

Sun

2017

Journal of Advanced Transportation

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With the increasing popularity of smart phones, Parking Reservation System (PRS) becomes practical to reduce the travel time in cruising for vacant spaces. The aim of this study is to assess the impact of PRS explicitly. This paper was started with analyzing the processes of cruising for vacant spaces and making parking reservation decisions. The vehicles were divided into two categories: the intelligent vehicles and the regular ones. Only the intelligent vehicles have the ability to make a parking reservation beforehand, while the regular ones have to cruise for vacant spaces. All involved components were treated as different agents, including vehicles, parking lots, network, and management center. Based on this, agent-based simulation was introduced to evaluate the performances of the scenarios with different penetration rates. The simulation results indicate the average travel time increases with the improvement of the penetration rates for the regular vehicles. The assessment method presented in this study would assist in promoting the performances of PRS in urban areas.

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Section: Cruising For Vacant Spacesmentioning

confidence: 99%

Agent-Based Modelling and Simulation to Assess the Impact of Parking Reservation System

Sun

2017

Journal of Advanced Transportation

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“…For example, [31] presented a model for determining the optimal display of parking guidance and information sign configuration that minimizes queue lengths and distance traveled while searching for parking. Similarly, in the fuzzy logic-based model developed by [32], each delivery vehicle can receive information on whether to park or not, based upon the current given state of the parking (e.g., space availability).…”

Section: Literature Reviewmentioning

confidence: 99%

Designing Dynamic Delivery Parking Spots in Urban Areas to Reduce Traffic Disruptions

Roca-Riu¹,

Cao²,

Dakic³

et al. 2017

Journal of Advanced Transportation

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Pick-up and delivery services are essential for businesses in urban areas. However, due to the limited space in city centers, it might be unfeasible to provide sufficient loading/unloading spots. As a result, this type of operations often interferes with traffic by occupying road space (e.g., illegal parking). In this study, a potential solution is investigated: Dynamic Delivery Parking Spots (DDPS). With this concept, based on the time-varying traffic demand, the area allowed for delivery parking changes over time in order to maximize delivery opportunities while reducing traffic disruptions. Using the hydrodynamic theory of traffic flow, we analyze the traffic discharging rate on an urban link with DDPS. In comparison to the situation without delivery parking, the results show that although DDPS occupy some space on a driving lane, it is possible to keep the delay at a local level, that is, without spreading to the network. In this paper, we provide a methodology for the DDPS design, so that the delivery requests can be satisfied while their negative impacts on traffic are reduced. A simulation study is used to validate the model and to estimate delay compared to real situations with illegal parking, showing that DDPS can reduce system's delay.

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“…For instance, in (Thompson and Richardson, 1998), the authors have proposed a model for estimating the utility of a car park and the choice model of a driver, taking into account access, waiting, direct and egress cost components. In (Thompsona et al, 2001), they have proposed a behavioral model of parking choice when faced with parking signs. Again, these works are complementary with ours, since they provide an extended choice model that could be integrated in our agents behaviors.…”

Section: Urban Parking Managementmentioning

confidence: 99%

Generic model for resource allocation in transportation. Application to urban parking management

Zargayouna

Balbo

Ndiaye

2016

Transportation Research Part C: Emerging Technologies

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In this paper, we define the online localized resource allocation problem, especially relevant for modeling transportation applications. The problem modeling takes into account simultaneously the geographical location of consumers and resources together with their online nondeterministic appearance. We use urban parking management as an illustration of this problem. In fact, urban parking management is an online localized resource allocation problem, where the question is how to find an efficient allocation of parking spots to drivers, while they all have dynamic geographical positions and appear nondeterministically. We define this problem and propose a multiagent system to solve it. The objective of the system is to decrease, for private vehicles drivers, the parking spots search time. The drivers are organized in communities and share information about spots availability. We have defined two cooperative models and compared them: a fully cooperative model, where agents share all the available information, and a "coopetitive" model, where drivers do not share information about the spot that they have chosen. Results show the superiority of the first model 1 .

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Optimisation of parking guidance and information systems display configurations

Cited by 76 publications

References 3 publications

Agent-Based Modelling and Simulation to Assess the Impact of Parking Reservation System

Agent-Based Modelling and Simulation to Assess the Impact of Parking Reservation System

Designing Dynamic Delivery Parking Spots in Urban Areas to Reduce Traffic Disruptions

Generic model for resource allocation in transportation. Application to urban parking management

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