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
The effect of information from dash-based human-machine interfaces on drivers' gaze patterns and lane-change manoeuvres after conditionally automated driving.
Rafael Cirino Gonçalves,Tyron Louw,Ruth Madigan,Manuela Quaresma,Richard Romano,Natasha Merat +5 more
TL;DR: In this paper , the authors measured the effect of human-machine interface (HMI) information and guidance on drivers' gaze and takeover behavior during transitions of control from automation, and found that drivers still rely on environmental information to perform a lane change, even when the same information can be acquired by the HMI of the vehicle.
Journal ArticleDOI
Multilane Automated Driving With Optimal Control and Mixed-Integer Programming
TL;DR: Receding horizon control cast as a mixed-integer quadratic program is used to plan lane changing and acceleration in a coupled optimization in a bid to address road networks' energy and time efficiency and remove nonlinear vehicle dynamics from the receding horizon controller.
Proceedings ArticleDOI
SeScR: SDN-Enabled Spectral Clustering-Based Optimized Routing Using Deep Learning in VANET Environment
Ankur Nahar,Debasis Das +1 more
TL;DR: In this article, a spectral clustering technique along with the deep deterministic policy gradient (DDPG) algorithm using hybrid SDN architecture is proposed to enhance cluster stability and route selection method.
Proceedings ArticleDOI
OBQR: Orientation-Based Source QoS Routing in VANETs
TL;DR: A vehicle orientation based QoS routing in vehicular ad-hoc networks (VANETs) is proposed, called OBQR, that exploits vehicle orientational information instead of magnitude information and significantly improves path selection and load balancing with betterQoS routing performance.
Journal ArticleDOI
Does LSTM outperform 4DDTW-KNN in lane change identification based on eye gaze data?
TL;DR: In this article , a sliding space-time cuboid algorithm was proposed to extract the scanning path and four-dimensional dynamic time warping (4DDTW) distance was used to measure the similarity of the scanning paths.
References
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Journal ArticleDOI
A behavioural car-following model for computer simulation
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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
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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