TY - GEN
T1 - An In-Vehicle Speed Advisories HMI for Driving Safety and Fuel Economy Improvement
AU - Bai, Wushuang
AU - Gao, Liming
AU - Pelletier, Evan
AU - Zhou, Guangwei
AU - Brennan, Sean
N1 - Funding Information:
VI. ACKNOWLEDGMENT The work presented herein is funded by the Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy, under Award Number DE-AR-0000801. The authors gratefully acknowledge this support.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - This paper presents an in-vehicle Human Machine Interface (HMI) that provides speed advisories to the driver leveraging Signal Phase and Timing (SPaT) information which can be obtained using Vehicle-to-Infrastructure (V2I) technologies. The goal of developing this HMI is to improve driving safety as well as vehicle fuel economy. To achieve this goal, we use a hierarchical predictive online controller for computation, a Robotic Operating System (ROS) framework for data transmission and an HTML/JavaScript based HMI for user-friendly information display. We experimentally validate the HMI on a real heavy-duty vehicle by replacing the conventional speedometer with the HMI. The results show i) the traffic signal bands enable the driver to change behavior based on anticipated red and green signal scenarios and ii) by using the speed advisories provided by the HMI, an 8.71% fuel economy improvement is achieved in experimental tests when using the HMI compared to baseline tests.
AB - This paper presents an in-vehicle Human Machine Interface (HMI) that provides speed advisories to the driver leveraging Signal Phase and Timing (SPaT) information which can be obtained using Vehicle-to-Infrastructure (V2I) technologies. The goal of developing this HMI is to improve driving safety as well as vehicle fuel economy. To achieve this goal, we use a hierarchical predictive online controller for computation, a Robotic Operating System (ROS) framework for data transmission and an HTML/JavaScript based HMI for user-friendly information display. We experimentally validate the HMI on a real heavy-duty vehicle by replacing the conventional speedometer with the HMI. The results show i) the traffic signal bands enable the driver to change behavior based on anticipated red and green signal scenarios and ii) by using the speed advisories provided by the HMI, an 8.71% fuel economy improvement is achieved in experimental tests when using the HMI compared to baseline tests.
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U2 - 10.1109/VTC2021-Fall52928.2021.9625285
DO - 10.1109/VTC2021-Fall52928.2021.9625285
M3 - Conference contribution
AN - SCOPUS:85122981429
T3 - IEEE Vehicular Technology Conference
BT - 2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 94th IEEE Vehicular Technology Conference, VTC 2021-Fall
Y2 - 27 September 2021 through 30 September 2021
ER -