TY - GEN
T1 - An IoT-based Eco-Parking System for Smart Cities
AU - Tamam, Ibrahim
AU - Wang, Shen
AU - Djahel, Soufiene
PY - 2020/10/29
Y1 - 2020/10/29
N2 - Advanced Parking Management Systems, representing an essential part of modern transportation systems, are being designed to improve key challenges facing the transportation industry in metropolitan cities. Long commuting times, high congestion levels, and extreme carbon emissions have led researchers to focus on tackling these critical challenges facing our everyday living. This paper aims to design green parking and a truly sustainable solution that reduces CO2 emissions, congestion, and commuting times. This is achieved by developing a proof-of-concept of an original IoT-based and eco-friendly parking system. This system, named Eco-Parking, uses a tag or mobile application for parking id authentication, relies on IR sensors to monitor the real-time parking space availability using MQTT, and allocates the car park space according to vehicular emission class (Equa Index).
AB - Advanced Parking Management Systems, representing an essential part of modern transportation systems, are being designed to improve key challenges facing the transportation industry in metropolitan cities. Long commuting times, high congestion levels, and extreme carbon emissions have led researchers to focus on tackling these critical challenges facing our everyday living. This paper aims to design green parking and a truly sustainable solution that reduces CO2 emissions, congestion, and commuting times. This is achieved by developing a proof-of-concept of an original IoT-based and eco-friendly parking system. This system, named Eco-Parking, uses a tag or mobile application for parking id authentication, relies on IR sensors to monitor the real-time parking space availability using MQTT, and allocates the car park space according to vehicular emission class (Equa Index).
KW - Eco-Parking
KW - Internet of Things (IoT)
KW - Parking
KW - Smart Cities
UR - http://www.scopus.com/inward/record.url?scp=85097202880&partnerID=8YFLogxK
U2 - 10.1109/ISC251055.2020.9239041
DO - 10.1109/ISC251055.2020.9239041
M3 - Conference proceeding
SN - 9781728182940
SN - 9781728182957
T3 - 2020 IEEE International Smart Cities Conference, ISC2 2020
SP - 1
EP - 6
BT - 2020 IEEE International Smart Cities Conference, ISC2 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Smart Cities Conference (ISC2)
Y2 - 28 September 2020 through 1 October 2020
ER -
