Adaptive Decision Making based on Temporal Information Dynamics

Tobias Meuser, Martin Wende, Patrick Lieser, Björn Richerzhagen, Ralf Steinmetz

2018

Abstract

To increase road safety and efficiency, connected vehicles rely on the exchange of information. On each vehicle, a decision-making algorithm processes the received information and determines the actions that are to be taken. State-of-the-art decision approaches focus on static information and ignore the temporal dynamics of the environment, which is characterized by high change rates in a vehicular scenario. Hence, they keep outdated information longer than necessary and miss optimization potential. To address this problem, we propose a quality of information (QoI) weight based on a Hidden Markov Model for each information type, e.g., a road congestion state. Using this weight in the decision process allows us to combine detection accuracy of the sensor and the information lifetime in the decision-making, and, consequently, adapt to environmental changes significantly faster. We evaluate our approach for the scenario of traffic jam detection and avoidance, showing that it reduces the costs of false decisions by up to 25% compared to existing approaches.

Paper Citation

in Harvard Style

Meuser T., Wende M., Lieser P., Richerzhagen B. and Steinmetz R. (2018). Adaptive Decision Making based on Temporal Information Dynamics.In Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-293-6, pages 91-102. DOI: 10.5220/0006687900910102

in Bibtex Style

@conference{vehits18,
author={Tobias Meuser and Martin Wende and Patrick Lieser and Björn Richerzhagen and Ralf Steinmetz},
title={Adaptive Decision Making based on Temporal Information Dynamics},
booktitle={Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2018},
pages={91-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006687900910102},
isbn={978-989-758-293-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Adaptive Decision Making based on Temporal Information Dynamics
SN - 978-989-758-293-6
AU - Meuser T.
AU - Wende M.
AU - Lieser P.
AU - Richerzhagen B.
AU - Steinmetz R.
PY - 2018
SP - 91
EP - 102
DO - 10.5220/0006687900910102