Skip to main content
Geert Tasseron
    Download (.pdf)
    Download (.pdf)
    Download (.pdf)
    The aim of this paper is to study the impacts of bottom-up information provision about on-street parking places on parking dynamics under heterogeneous conditions. Using an agent-based simulation model, performance is compared between a... more
    The aim of this paper is to study the impacts of bottom-up information provision about on-street parking places on parking dynamics under heterogeneous conditions. Using an agent-based simulation model, performance is compared between a bottom-up vehicle-to-vehicle communication strategy and a strategy that combines parking sensors and vehicle-to-vehicle communication. In the latter approach on-street parking places are all equipped with sensors capable of disseminating their status. The results show that search time is decreased for informed 'smart' cars, especially under spatially heterogeneous conditions, for the sensor-based strategy. Furthermore, for the case of the sensor-based strategy, the results point out that smart cars outperform regular cars in terms of walking distance under all circumstances. The positive impacts for the vehicle-to-vehicle strategy are limited to walking distance improvements only.
    Research Interests:
    Download (.pdf)
    Studies have shown that up to thirty percent of all traffic in crowded urban areas can be cruising for parking. Information provision to drivers can potentially decrease cruising time for individual drivers and subsequently improve the... more
    Studies have shown that up to thirty percent of all
    traffic in crowded urban areas can be cruising for parking.
    Information provision to drivers can potentially decrease cruising
    time for individual drivers and subsequently improve the
    performance of the overall system. While most cities provide
    drivers with information on the occupancy rates of off-street
    parking facilities, information on single on-street parking
    places was non-existing until recently. Recent technological
    advances have made it possible to provide such information.
    The aim of this paper is to study the impacts of such
    bottom-up information provision about on-street parking
    places for the individual driver as well as the system as a
    whole. Using an agent-based simulation model, impacts are
    compared between a bottom-up vehicle-to-vehicle communication
    strategy and a strategy that combines parking
    sensors and vehicle-to-vehicle communication. In the latter
    approach on-street parking places are equipped with
    sensors capable of disseminating their occupancy status. Contrary to expectations based on theory, the results
    show that, for both strategies, search time is barely
    decreased and sometimes even increased. Performance in
    terms of walking distance using a vehicle-to-vehicle communication
    strategy is only improved in situations with
    almost full on-street occupancy levels. In contrast, when
    a sensor strategy is applied, walking distance is reduced
    under all conditions.
    The main conclusion is that the societal benefits of bottom-
    up information provision are not clear from the outset.
    Research Interests:
    Download (.pdf)
    Download (.pdf)
    Research Interests:
    Download (.pdf)