Journal ArticleDOI
A model for the structure of lane-changing decisions
TLDR
A structure is proposed to connect the decisions which a driver has to make before changing lanes to ensure that the vehicles in traffic simulations behave logically when confronted with situations commonly encountered in real traffic.Abstract:
A structure is proposed to connect the decisions which a driver has to make before changing lanes. The model is intended to cover the urban driving situation, where traffic signals, obstructions and heavy vehicles all exert an influence. The structure is designed to ensure that the vehicles in traffic simulations behave logically when confronted with situations commonly encountered in real traffic. The specific mathematical expression of the questions embedded in the decision process and employed in the present implementation of the model are not critical and can be replaced by alternatives, but the heirarchy of the decisions is crucial. On the basis of experience to date, the lane changing model produces a realistic simulation of driver behaviour and has proved very robust under a wide range of conditions.read more
Citations
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Journal ArticleDOI
Spatiotemporal Interaction Pattern Recognition and Risk Evolution Analysis During Lane Changes
TL;DR: In this article , a learning framework that combines primitive-based interaction pattern recognition and risk analysis is proposed for complex lane change (LC) scenarios, where semantic interpretation and safety analysis of dynamic interaction pattern are necessary for autonomous vehicles to make appropriate decisions.
Proceedings ArticleDOI
Detection and pre-warning of vehicle lane change based on state machine
TL;DR: Experimental results show that the state model could correctly detect driver's driving behavior and send warning signals.
Proceedings ArticleDOI
Lane-changing prediction in highway: Comparing empirically rule-based model MOBIL and a naïve Bayes algorithm
Basma Khelfa,Antoine Tordeux +1 more
TL;DR: In this paper, the authors empirically compare two approaches: the MOBIL model and the naive Bayes algorithm and demonstrate statistical significance by taking into account the number of parameters of the model.
Journal ArticleDOI
Game Theoretic Merging Behavior Control for Autonomous Vehicle at Highway On-Ramp
TL;DR: In this paper , a game theoretic merging behavior control system for autonomous vehicle at on-ramp junction considering the interaction between the merging vehicle and following vehicle in the main lane is presented.
Posted Content
Learning MPC for Interaction-Aware Autonomous Driving: A Game-Theoretic Approach
TL;DR: In this paper, the authors present a novel control strategy for controlling autonomous vehicles in general traffic situations which accounts for the mutual interactions between the controlled vehicle and other road users, where each road user is assumed to minimize a shared cost function subject to shared (collision avoidance) constraints.
References
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A behavioural car-following model for computer simulation
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Journal ArticleDOI
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Journal ArticleDOI
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Journal ArticleDOI
A Generalization of Linear Car-Following Theory
TL;DR: The linear theory of single-lane traffic flow is generalized by using an integral transform technique well-known in other branches of applied science that introduces the idea of a memory function that describes the way in which a driver processes the information he receives from a lead vehicle.
Journal ArticleDOI
Fuel saving and other benefits of dynamic advisory speeds on a multi-lane arterial road
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