"Dataset and Control Algorithm for Pedestrian-Aware Speed Adaptation of Autonomous Vehicles at Unsignalized Crossings"

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Authors: Szilárd Szigeti
Cited by: 0

Abstract

"This dataset contains the external Python control script used to implement pedestrian-aware speed adaptation for autonomous vehicles (AVs) in a PTV Vissim microscopic traffic simulation. The algorithm dynamically adjusts AV desired speed at an unsignalized pedestrian crossing based on pedestrian position, walking speed, estimated time-to-crossing, and predefined detection ranges. Conflict assessment is performed at each simulation timestep (0.2 s), incorporating direction-dependent yielding logic and a safety buffer. The dataset supports reproducibility of the energy consumption analysis presented in the associated IEEE Access study and can be used for further research on autonomous vehicle control and pedestrian\u2013vehicle interaction modeling."

Fields of Study & Subjects

Traffic control and management Traffic and Road Safety Autonomous Vehicle Technology and Safety

Publication details

Journal / source
IEEE DataPort
Publication date
17 February 2026
Language
EN
Document type
Dataset