Modification and Experimental Validation of a Logistic Regression Vehicle-Pedestrian Model
International Conference on Smart Systems and Technologies 2022 (SST 2022), Osijek2022The paper deals with the analysis and modification of the expectation submodel of a game theory-based vehicle-pedestrian interaction model. The model modification concerns inclusion of additional explanatory variables, particularly the pedestrian position, in order to extend the model applicability and improve the overall model accuracy. The expectation model parameters are identified by using a real-world drone-recorded dataset, which includes several hours of vehicle-pedestrian interactions at an unsignalized crosswalk. The identified expectation model and the overall pedestrian model are validated against the experimental data. vehicle-pedestrian interaction; modeling; logistic regression; identification; experimental validation
Cited by 3
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Scenario-Optimization-Based Velocity Planning of Autonomous Vehicles for Interacting With Pedestrians🔗
IEEE transactions on intelligent transportation systems (Print), 2025
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[2]
Chance-Constrained SMPC for Autonomous Vehicles Approaching Unsignalized Crosswalks🔗
International Conference on Automation, Robotics and Applications, 2024
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[3]
Stochastic Model Predictive Control of an Autonomous Vehicle Interacting with Pedestrians at Unsignalized Crosswalks🔗
European Control Conference, 2023
International Conference on Smart Systems and Technologies 2022 (SST 2022), Osijek
2022
Cited by 3
▾
-
[1] Scenario-Optimization-Based Velocity Planning of Autonomous Vehicles for Interacting With Pedestrians🔗IEEE transactions on intelligent transportation systems (Print), 2025
-
[2] Chance-Constrained SMPC for Autonomous Vehicles Approaching Unsignalized Crosswalks🔗International Conference on Automation, Robotics and Applications, 2024
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[3] Stochastic Model Predictive Control of an Autonomous Vehicle Interacting with Pedestrians at Unsignalized Crosswalks🔗European Control Conference, 2023