Generation of Vehicle Trajectory from Acceleration Sensor Data

  • Péter Mika Multidiszciplináris Műszaki Tudományi Doktori Iskola Széchenyi István Egyetem, Győr
Keywords: Vehicle Trajectory, vehicle model, Adaptive Car Following Model

Abstract

The test reveals that the distance travelled by the vehicle can be determined from the acceleration sensor and the vehicle speed data, thereby the vehicle's following distance in traffic is measurable while driving. Accuracy does not depend on the number of samples taken or the speed of the vehicle. The accuracy of the final result depends on the horizontal position of
the instrument, i.e. it can be assumed that if it were compensated during the measurement process, it would be expected to give an accurate measurement regardless of the longitudinal slope of the track.

References

Tettamanti T., Varga I., Csikós A.: Közúti Mérések, Typotex, Budapest, 2016.

Luspay T., Tettamanti T., Varga I.: Forgalomirányítás, Typotex, Budapest, 2011.

B.D. Greenshields: A study of traffic capacity. In Proceedings of the Highway Research Board, vol. 14, pp. 448-477, 1935.

M. Treiber, D. Helbing. Realistische Mikrosimulation von Straßenverkehr mit einem einfachen Modell, Dresden, 2002.

A. Kesting, M. Treiber, D. Helbing.: Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity, Phil. Trans. R. Soc. A (368), 4585 – 4605, 2010. DOI: http://doi.org/cn2b8r

Mika P.: Adaptive car following model, Journal of Mechanical Engineering, vol. 68., no. 3, 281-288, 2018, DOI: https://doi.org/10.2478/scjme-2018-0041, DOI: http://doi.org/dbh6

L. A. PIPES.: Wave theories of traffic flow, Department of Engineering Univeryity of California, Los Angeles, California

L. A. PIPES.: Car following models and the fundamental diagram of road traffic, Transportation Research, Los Angeles, California, Vol. 1, pp. 21-29., 1967, DOI: http://doi.org/b2s6vv

H. GREENBERG.: An Analysis of Traffic Flow, Operation Research, Vol. 7, no. 1, pp. 79-85, 1959.

K. É. Gilicze, G. Debreczeni.: Közúti forgalmi áramlatok mikroszkopikus és makroszkopikus szemléletmódú jellemzése, Közlekedéstudományi szemle, 2010, Vol.: 60, pp. 16-20

How to Cite
MikaP. (1). Generation of Vehicle Trajectory from Acceleration Sensor Data. Scientific Review of Transport, 69(5), 18-28. https://doi.org/10.24228/KTSZ.2019.5.2
Section
Articles