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 Bayesian inference based adaptive lane change prediction model
TL;DR: The proposed lane change prediction model is capable of different driving environments, especially when the traditional LSTM method cannot capture drivers’ lane change decision well and could be applied to the Advanced Driver Assistance System and autonomous vehicles in the future to reduce driving perception errors.
Journal ArticleDOI
Modelling behavioural interactions of drivers’ in mixed traffic conditions
TL;DR: The effect of vehicle type on the longitudinal and lateral movement behaviours of drivers using the trajectory data collected in India is established and the proposed vehicle-type dependent driver behavioural models based on the same dataset are presented.
Journal ArticleDOI
Characteristics of lateral vehicle interaction
TL;DR: Evidence is found that the lateral position of vehicles follows a slightly different distribution when they have another vehicle vis-à-vis, deviating from the expected distribution by more than 50 mm on average, and seems to increase with speed.
Journal ArticleDOI
A Methodology on the Automatic Recognition of Poor Lane Keeping
TL;DR: The theoretical description of an automatic detection system to recognize irregular lateral vehicle movements resulting from various forms of dangerous driving, based on establishing certain threshold values for normal driving patterns and by checking given traffic instances against these criteria is provided.
Journal ArticleDOI
Cross-Comparison and Calibration of Two Microscopic Traffic Simulation Models for Complex Freeway Corridors with Dedicated Lanes
Xingan Kan,Lin Xiao,Hao Liu,Meng Wang,W.J. Schakel,Xiao-Yun Lu,Bart van Arem,Steven E Shladover,Robert A Ferlis +8 more
TL;DR: Two alternative driving behavior models that are capable of modeling freeways with multiple bottlenecks and dedicated lanes over an extended period with varying demand levels are discussed.
References
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Journal ArticleDOI
A behavioural car-following model for computer simulation
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Journal ArticleDOI
Nonlinear Follow-the-Leader Models of Traffic Flow
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Journal ArticleDOI
Nonlinear Effects in the Dynamics of Car Following
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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
TL;DR: In this paper, a discrete vehicle simulation using program MULTSIM has been run on a 6 km idealized road and also on 2.3 km of the multi-lane arterial, Military Road, Sydney.
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