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
A novel evaluation method for vehicle and traffic performance of different decision control of automatic lane change based on miniature model
TL;DR: Research on automatic lane-change decision is mainly limited to simulation validation and lacks real vehicle validation methods because it is limited by experimental site and automatic driving tech.
Journal ArticleDOI
Research on Vehicle Lane-Change Driving Behavior Based on Optimal Velocity Model
TL;DR: The study shows that the lane-change behavior can be approximately described as the two kinds of car following behavior in the original lane and the target lane to the front car, and establishes a driving behavior model based on optimal velocity model that can truly describe thelane-change driving characteristics.
20 Driver Behavior Modeling
TL;DR: This chapter presents a general framework classifying the different models adopted for capturing driver behavior focusing on the human cognitive dimensions and the traffic decision-making dimensions, and offers an insight into current modeling approaches and the corresponding advantages and disadvantages.
Journal ArticleDOI
Increasing Freeway Capacity by Efficiently Timing Its Nearby Arterial Traffic Signals
TL;DR: The proposed signal control strategy reduces the freeway, arterial, and system-wide delay at a modest penalty for on-ramp bound traffic by integrating arterial signal timing with the adjacent ramp-metering system.
Journal ArticleDOI
Recognition of Lane Changing Maneuvers for Vehicle Driving Safety
TL;DR: In this paper , the authors proposed a model of lane changing maneuver recognition based on a distinct set of physical data, which were extracted and labeled as physical data and input into the k-nearest neighbor (KNN) classification model.
References
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A behavioural car-following model for computer simulation
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Journal ArticleDOI
A Generalization of Linear Car-Following Theory
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Journal ArticleDOI
Fuel saving and other benefits of dynamic advisory speeds on a multi-lane arterial road
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