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
Driving Behaviors: Models and Challenges for Non-Lane Based Mixed Traffic
TL;DR: In this article, a review of current driving behavior models in the context of mixed traffic, discusses their limitations and the data and modeling challenges that need to be met in order to extend and improve their fidelity.
Journal ArticleDOI
Prediction of Lane-Changing Maneuvers with Automatic Labeling and Deep Learning:
TL;DR: An end-to-end machine learning model for predicting lane-change maneuvers from unlabeled data using a limited number of features is developed and presented and results show that lane changes can efficiently be predicted in real-time, with an average detection time of at least 3 s with a small percentage of false alarms.
Proceedings ArticleDOI
Analyzing cooperative lane change models for connected vehicles
TL;DR: Empirical analysis shows that an optimal lane change model should optimize the conflicting requirements of maintaining desired speeds and reducing the number of lane changes and fuel consumption for all vehicles simultaneously.
Book
Microscopic Modeling of Human and Automated Driving: Towards Traffic-Adaptive Cruise Control
TL;DR: The models and simulation tools presented provide the methodical prerequisites for the second part of the thesis in which a novel concept of a traffic-adaptive control strategy for ACC systems is presented.
Journal ArticleDOI
Integration of Driving and Traffic Simulation: Issues and First Solutions
Vincenzo Punzo,Biagio Ciuffo +1 more
TL;DR: The integration of a driving simulation engine known as SCANeR and a traffic-flow microsimulation model known as AIMSUN is described, which opens up new scenarios for enhancing the credibility of both traffic modeling and driving simulation and for their combined development.
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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