2019 IEEE Intelligent Vehicles Symposium (IV) 2019
DOI: 10.1109/ivs.2019.8813883
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Comparing Different On-Street Parking Information for Parking Guidance and Information Systems

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Cited by 6 publications
(4 citation statements)
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“…Second, there could be a limited number of available parking spaces in urban areas, especially during peak hours, resulting in drivers heading for available spaces once they obtain parking information. In the study presented in [48], the impact of different strategies of parking dissemination information was investigated in various traffic conditions (S26). Two settings were used, namely real-world SFpark data and altered SFpark data, to simulate a more competitive parking environment.…”
Section: Parking Information Disseminationmentioning
confidence: 99%
“…Second, there could be a limited number of available parking spaces in urban areas, especially during peak hours, resulting in drivers heading for available spaces once they obtain parking information. In the study presented in [48], the impact of different strategies of parking dissemination information was investigated in various traffic conditions (S26). Two settings were used, namely real-world SFpark data and altered SFpark data, to simulate a more competitive parking environment.…”
Section: Parking Information Disseminationmentioning
confidence: 99%
“…A different approach to managing curb parking is through intelligent parking systems 14 (IPS). If cruising for parking is caused by a lack of information about curb availability, then by providing this information, cities can help drivers make better routing and parking decisions.…”
Section: Introductionmentioning
confidence: 99%
“…In this context, smart parking systems [2] provide sensor-based and networked solutions to detect parking lot occupancy rates and dispense available capacities in order to minimize parking lot searches. While online smart parking systems offer great potential for compensating the aforementioned issues of urban parking [3,4], sensory perception of the real-time occupancy rate of available parking space is essential for the performance of smart parking systems. For this task, manifold approaches for providing efficient and reliable occupancy detection of parking space exist, including visual sensor networks with camera via image recognition [5,6], communication-based via vehicular ad hoc networks [7], crowd sensing by taxis and map/location information [8] or camera-based drone surveillance [9].…”
Section: Introductionmentioning
confidence: 99%