Safety-Oriented Calibration and Evaluation of the Intelligent Driver Model
Kingsley Adjenughwure, Arturo Tejada, Pedro F. V. Oliveira, Jeroen, Hogema, Gerdien Klunder

TL;DR
This paper introduces a new safety compliance metric for the Intelligent Driver Model (IDM), evaluates driver adherence to safety thresholds, and proposes a calibration method to improve safety-oriented traffic simulations.
Contribution
It presents a novel metric for assessing driver safety compliance in IDM and a calibration approach to enforce safety thresholds during model fitting.
Findings
Driver compliance to safety thresholds varies widely, with median compliance between 38% and 90%.
Compliance depends heavily on braking capability.
Most drivers only partially follow IDM safety thresholds in real driving conditions.
Abstract
Many car-following models like the Intelligent Driver Model (IDM) incorporate important aspects of safety in their definitions, such as collision-free driving and keeping safe distances, implying that drivers are safety conscious when driving. Despite their safety-oriented nature, when calibrating and evaluating these models, the main objective of most studies is to find model parameters that minimize the error in observed measurements like spacing and speed while studies specifically focused on calibrating and evaluating unobserved safe behavior captured by the parameters of the model are scarce. Most studies on calibration and evaluation of the IDM do not check if the observed driving behavior (i.e. spacing) are within the model estimated unobserved safety thresholds (i.e. desired safety spacing) or what parameters are important for safety. This limits their application for safety…
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Taxonomy
TopicsAutonomous Vehicle Technology and Safety · Vehicle emissions and performance
