Smart park : sustainable traffic of autonomous vehicles in smart-parking management
Traffic induced by parking-spot seekers is a growing challenge and constitutes a considerable portion of the traffic in city centres. However, new opportunities to solve this problem are emerging by connected vehicles and infrastructure. For instance, ultrasonic and magnetic sensors are already mounted on the ceiling of many parking lots to detect the availability of a parking spot. These sensors can provide parking spot availability information in real-time. Further, traffic-aware smart sensors which can detect the movement of individual vehicles are also available in many city and highway areas. This report suggests an algorithm for a cloud-based parking service provider which exploits these streams of data to choose the best parking-lot in a given parking area. The parking-seeking problem is subject to a range of criteria that may include user, municipality and parking-operator preferences. For example, users may have some preferences with respect to walking distance to destination, municipalities prefer to spread the traffic to reduce congestion in the urban core and parking-operators seek to maximize parking-lots utilization in order to increase profits on real-estate investments. To solve this problem, an optimization algorithm based on multicriteria decision-making process is used.
- Record URL:
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Corporate Authors:
Fordonsstrategisk Forskning och Innovation (FFI)
, Sweden -
Authors:
- Nåbo, Arne
- Atif, Yacine
- Kharrazi, Sogol
- Publication Date: 2020
Language
- English
Media Info
- Pagination: 27p
Subject/Index Terms
- TRT Terms: Driver information systems; Intelligent transportation systems; Mathematical models; Parking
- ITRD Terms: 6473: Algorithm; 8736: Cooperative intelligent transport system; 8763: Driver information; 6473: Equation; 6473: Formula (math); 8735: Intelligent transport system; 955: Parking
- Subject Areas: Operations and Traffic Management; I91: Vehicle Design and Safety;
Filing Info
- Accession Number: 01790110
- Record Type: Publication
- Source Agency: Swedish National Road and Transport Research Institute (VTI)
- Files: ITRD, VTI
- Created Date: Dec 1 2021 2:48PM