TY - GEN
T1 - Real-time traffic monitoring systems based on magnetic sensor integration
AU - Sarrab, Mohammed
AU - Pulparambil, Supriya
AU - Kraiem, Naoufel
AU - Al-Badawi, Mohammed
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2019.
PY - 2019
Y1 - 2019
N2 - Traffic management systems are one of the most significant components of any major city. Ease of use and effective connections are essential for sustainability and growth, impacting citizens, businesses, the environment, and the economy. Nevertheless, these systems represent a major challenge when it comes to digital renovation. This paper proposes a novel intelligent traffic monitoring system for a smart city after considering the research gaps, which are yet to be explored in the current scenario. Our proposed solution presents a system model to broadcast traffic congestion updates through roadside message units. The main objective of this research is to provide real-time traffic updates to users through message units installed at intersections specifically on collector roads to improve the mobility. The proposed system can be further enhanced to provide optimal re-route suggestions to the drivers. This effort is part of a funded research project that investigates Smart Streets: Real-Time Feedback for Adaptive Traffic Signals.
AB - Traffic management systems are one of the most significant components of any major city. Ease of use and effective connections are essential for sustainability and growth, impacting citizens, businesses, the environment, and the economy. Nevertheless, these systems represent a major challenge when it comes to digital renovation. This paper proposes a novel intelligent traffic monitoring system for a smart city after considering the research gaps, which are yet to be explored in the current scenario. Our proposed solution presents a system model to broadcast traffic congestion updates through roadside message units. The main objective of this research is to provide real-time traffic updates to users through message units installed at intersections specifically on collector roads to improve the mobility. The proposed system can be further enhanced to provide optimal re-route suggestions to the drivers. This effort is part of a funded research project that investigates Smart Streets: Real-Time Feedback for Adaptive Traffic Signals.
KW - RMU
KW - Space occupancy
KW - Traffic congestion
KW - Traffic monitoring
KW - Vehicle classification
UR - http://www.scopus.com/inward/record.url?scp=85076179095&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076179095&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-1301-5_35
DO - 10.1007/978-981-15-1301-5_35
M3 - Conference contribution
AN - SCOPUS:85076179095
SN - 9789811513008
T3 - Communications in Computer and Information Science
SP - 447
EP - 460
BT - Smart City and Informatization - 7th International Conference, iSCI 2019, Proceedings
A2 - Wang, Guojun
A2 - El Saddik, Abdulmotaleb
A2 - Lai, Xuejia
A2 - Martinez Perez, Gregorio
A2 - Choo, Kim-Kwang Raymond
PB - Springer
T2 - 7th International Conference on Smart City and Informatization, iSCI 2019
Y2 - 12 November 2019 through 15 November 2019
ER -
