Longitude force estimation for bandwidth conservative communication and vehicular monitoring

Jing Yang, Timothy N. Chang, Edwin Hou, Nirwan Ansari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we address a driver behavior reconstruction problem which is important to enhance traffic safety. More specifically, the task in this study is to estimate the longitude tire force which can be transferred to the corresponding throttle/brake positions under the assumption that the steering angles are known. Although the sensors mounted on the throttle/brake pedals can directly measure the pedal positions and multimodal sensors can also be used to measure vehicle states to estimate the longitude tire force, the sensors are costly and cannot be readily mounted in the vehicle. In order to avoid such shortcomings, we consider using a low cost 1Hz GPS receiver as the vehicle data acquisition equipment. In our work, a longitude force estimation scenario is developed for the nonlinear extended 2-wheel vehicle dynamic model only according to the GPS information. Firstly, two states, i.e. the sideslip angle and the yaw rate are estimated since they are not available from GPS measurements. Secondly, an optimization scheme is proposed to estimate the longitude tire force. Finally, the estimation results can validate our methods by comparing to the reference longitude tire force command.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Automation Science and Engineering, CASE 2010
Pages668-673
Number of pages6
DOIs
StatePublished - Nov 17 2010
Event2010 IEEE International Conference on Automation Science and Engineering, CASE 2010 - Toronto, ON, Canada
Duration: Aug 21 2010Aug 24 2010

Publication series

Name2010 IEEE International Conference on Automation Science and Engineering, CASE 2010

Other

Other2010 IEEE International Conference on Automation Science and Engineering, CASE 2010
CountryCanada
CityToronto, ON
Period8/21/108/24/10

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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