Optimizing the safety-efficiency balancing of automated vehicle car-following
| Autor: | Xiaobo Liu, Danqi Shen, Scott Le Vine, Lijuan Lai |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
050210 logistics & transportation
Automobile Driving Scope (project management) Operations research Third party Computer science 05 social sciences Public Health Environmental and Occupational Health Accidents Traffic Human Factors and Ergonomics Crash Car following Arrival time Set (abstract data type) 0502 economics and business Duty of care Humans 0501 psychology and cognitive sciences Product (category theory) Safety Safety Risk Reliability and Quality Automobiles 050107 human factors Algorithms |
| Zdroj: | Accident; analysis and prevention. 136 |
| ISSN: | 1879-2057 |
| Popis: | This paper proposes an approach to rationally set automated vehicles’ car following behavior that explicitly balances between the competing considerations of safety (i.e. small probabilities of a high-consequence crash) and efficiency (guaranteed but small impacts on journey arrival time due to the choice of car following distance). The specification of safety and efficiency are both based on empirically supported concepts and data. In numerical analyses with empirical vehicle trajectories at two sites, we demonstrate intuitive response to systematic variation in numerical values selected as inputs, as well as whether the scope of the efficiency consideration is selfish or systemwide. The proposed balancing is aligned with the standard “Hand Rule” criterion to demonstrate that a duty of care has been met, in which a burden must be borne if it is less than the product of the probability of loss to a third party and the magnitude of loss. Thus the proposed approach is intended to be useful for designers of control algorithms for AVs to establish that they have met their duty of care, taking both safety and efficiency into account. |
| Databáze: | OpenAIRE |
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