TY - JOUR
T1 - Autonomous car parking system through a cooperative vehicular positioning network
AU - Correa, Alejandro
AU - Boquet, Guillem
AU - Morell, Antoni
AU - Vicario, Jose Lopez
PY - 2017/4/13
Y1 - 2017/4/13
N2 - © 2017 by the authors. Licensee MDPI, Basel, Switzerland. The increasing development of the automotive industry towards a fully autonomous car has motivated the design of new value-added services in Vehicular Sensor Networks (VSNs). Within the context of VSNs, the autonomous car, with an increasing number of on-board sensors, is a mobile node that exchanges sensed and state information within the VSN. Among all the value added services for VSNs, the design of new intelligent parking management architectures where the autonomous car will coexist with traditional cars is mandatory in order to profit from all the opportunities associated with the increasing intelligence of the new generation of cars. In this work, we design a new smart parking system on top of a VSN that takes into account the heterogeneity of cars and provides guidance to the best parking place for the autonomous car based on a collaborative approach that searches for the common good of all of them measured by the accessibility rate, which is the ratio of the free parking places accessible for an autonomous car. Then, we simulate a real parking lot and the results show that the performance of our system is close to the optimum considering different communication ranges and penetration rates for the autonomous car.
AB - © 2017 by the authors. Licensee MDPI, Basel, Switzerland. The increasing development of the automotive industry towards a fully autonomous car has motivated the design of new value-added services in Vehicular Sensor Networks (VSNs). Within the context of VSNs, the autonomous car, with an increasing number of on-board sensors, is a mobile node that exchanges sensed and state information within the VSN. Among all the value added services for VSNs, the design of new intelligent parking management architectures where the autonomous car will coexist with traditional cars is mandatory in order to profit from all the opportunities associated with the increasing intelligence of the new generation of cars. In this work, we design a new smart parking system on top of a VSN that takes into account the heterogeneity of cars and provides guidance to the best parking place for the autonomous car based on a collaborative approach that searches for the common good of all of them measured by the accessibility rate, which is the ratio of the free parking places accessible for an autonomous car. Then, we simulate a real parking lot and the results show that the performance of our system is close to the optimum considering different communication ranges and penetration rates for the autonomous car.
KW - Autonomous car
KW - Smart parking
KW - Vehicular communications
KW - Vehicular sensor networks
UR - https://ddd.uab.cat/record/201647
U2 - https://doi.org/10.3390/s17040848
DO - https://doi.org/10.3390/s17040848
M3 - Article
VL - 17
JO - Sensors
JF - Sensors
SN - 1424-3210
IS - 4
M1 - 848
ER -