Quantifying the potential savings in travel time resulting from parking guidance systems — a simulation case study

Waterson, Ben; Hounsell, N.B.; Chatterjee, Kiron

doi:10.1057/palgrave.jors.2601207

Cited by 50 publications

(18 citation statements)

References 2 publications

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“…However, in spite of the usefulness of PGIS based on VMS, the effect on the system-wide reduction in travel time throughout a city and vehicle benefit may seem to be relatively small [18,19]. The parking guidance relying on VMS has several drawbacks: (1) drivers may not find near vacant parking spots by merely following the VMS, (2) drivers may miss a better parking spot while heading to a specific parking spot, due to the temporal discrepancy, (3) parking resource utilization becomes imbalanced, and (4) parking guidance itself causes new traffic congestion.…”

Section: Parking Guidance For a Citymentioning

confidence: 99%

A Dynamic Information-Based Parking Guidance for Megacities considering Both Public and Private Parking

Shin

Kim

Jun

et al. 2017

Journal of Advanced Transportation

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The constantly increasing number of cars in the megacities is causing severe parking problems. To resolve this problem, many cities adopt parking guidance system as a part of intelligent transportation system (ITS). However, the current parking guidance system stays in its infant stage since the obtainable information is limited. To enhance parking management in the megacity and to provide better parking guidance to drivers, this study introduces an intelligent parking guidance system and proposes a new methodology to operate it. The introduced system considers both public parking and private parking so that it is designed to maximize the use of spatial resources of the city. The proposed methodology is based on the dynamic information related parking in the city and suggests the best parking space to each driver. To do this, two kinds of utility functions which assess parking spaces are developed. Using the proposed methodology, different types of parking management policies are tested through the simulation. According to the experimental test, it is shown that the centrally managed parking guidance can give better results than individually preferred parking guidance. The simulation test proves that both a driver's benefits and parking management of a city from various points of view can be improved by using the proposed methodology.

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Section: Parking Guidance For a Citymentioning

confidence: 99%

A Dynamic Information-Based Parking Guidance for Megacities considering Both Public and Private Parking

Shin

Kim

Jun

et al. 2017

Journal of Advanced Transportation

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“…Cars stuck in traffic further yield unnecessary consumption of fossil fuels. This has a direct economic impact on drivers and results in a negative environmental impact through air pollution and significant greenhouse gas emissions .…”

Section: Smart Parkingmentioning

confidence: 99%

On‐street smart parking networks at a fraction of their cost: performance analysis of a sampling approach

Evenepoel

VanOoteghem

Verbrugge

et al. 2014

Trans. Emerging Tel. Tech.

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Parking spot monitoring can be used for various smart parking applications. One particular use is detecting the city wide occupancy level of the parking spaces and redirecting cars accordingly to reduce congestion. The practice of monitoring parking spots is already widespread in modern off-street parking lots. However, a large fraction of a city's parking capacity still stems from on-street parking spots. These aren't yet monitored as commonly. This can be explained by higher deployment costs for on-street implementations.In light of improving the adoption of on-street parking spot monitoring, this paper evaluates a novel approach to reduce these deployment costs. The idea is to provide sensor readings on only a fraction of the parking spots and use extrapolation to calculate city wide saturation levels. This reduces the number of sensors that has to be installed and consequently lowers the network cost.A probabilistic model and corresponding performance measure were built to quantify the reliability of a sensor network that implements this approach. Dependent on the number of sensors deployed, the estimated saturation levels might be subject to extrapolation errors. An analysis of several deployments scenarios with decreasing numbers of sensors shows that significant cost reductions (up to a factor 30) are obtainable whilst retaining sufficient performance.These results exceed cost reductions obtained by alternative approaches where a switch is made from roadside to vehicle mounted sensors for monitoring parking spots. An additional comparative advantage of our approach is the reduced dependency on vehicles equipped with vehicle-to-vehicle or vehicle-to-environment communication units.

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“…Interestingly, visitors are more likely than resident commuters to use city-center PGI systems (Thompson and Bonsall, 1997). PGI systems were found to reduce parking facility queue lengths; however, system-wide reductions in travel time and vehicle travel and economic benefits may be relatively small (Thompson and Bonsall, 1997;Waterson et al, 2001).…”

Section: Literature Reviewmentioning

confidence: 99%

Transit-based smart parking: An evaluation of the San Francisco Bay area field test

Rodier

Shaheen

2010

Transportation Research Part C: Emerging Technologies

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This paper presents an evaluation of the first transit-based smart parking project in the US at the San Francisco Bay Area Rapid Transit (BART) District station in Oakland, California. The paper begins with a review of the smart parking literature; next the smart parking field test is described including its capital, operational, and maintenance costs; and finally the results of the participant survey analysis are presented. Some key user response results are: (1) most participants used the smart parking system 1-3 days a month for commute travel and (2) 37% of respondents had seen the changeable message signs with parking information, but only 32% of those used this information to decide whether to continue driving or take BART. Some key changes in participant travel behavior include: (1) increases in BART mode share, (2) reductions in drive alone modal share, (3) decreased average commute time, and (4) an overall reduction in total vehicle miles of travel.

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Quantifying the potential savings in travel time resulting from parking guidance systems — a simulation case study

Cited by 50 publications

References 2 publications

A Dynamic Information-Based Parking Guidance for Megacities considering Both Public and Private Parking

A Dynamic Information-Based Parking Guidance for Megacities considering Both Public and Private Parking

On‐street smart parking networks at a fraction of their cost: performance analysis of a sampling approach

Transit-based smart parking: An evaluation of the San Francisco Bay area field test

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