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
Analysis of cut-in behavior based on naturalistic driving data.
TL;DR: The ability of drivers, who needed to yield to the cut-in, to predict danger and adopt safe, suitable, and timely strategies suggests that advanced driver assistance systems and connected and autonomous vehicles can learn similar responses.
Journal ArticleDOI
Passing Rates to Measure Relaxation and Impact of Lane-Changing in Congestion
TL;DR: Passing rate measurements of backward-moving kinematic waves in congestion are applied to quantify two traffic features; a relaxation phenomenon of vehicle lane-changing and impact of lane- changing in traffic streams after the relaxation process is complete.
Book ChapterDOI
Modelling Advanced Transport Telematic Applications with Microscopic Simulators: The Case of AIMSUN2
TL;DR: The general requirements of some of Advanced Transport Telematic Applications are discussed, and how have they been implemented in the microscopic traffic simulator AIMSUN2.
Proceedings ArticleDOI
Automated Speed and Lane Change Decision Making using Deep Reinforcement Learning
TL;DR: In this paper, a Deep Q-Network agent was trained in a simulated environment to handle speed and lane change decisions for a truck-trailer combination, which matched or surpassed the performance of a commonly used reference model.
Journal ArticleDOI
Hierarchical model predictive control for multi-lane motorways in presence of Vehicle Automation and Communication Systems
TL;DR: In this article, a hierarchical model predictive control framework is proposed for coordinated and integrated control of a motorway system, considering that an amount of vehicles are equipped with specific VACS.
References
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Journal ArticleDOI
A behavioural car-following model for computer simulation
TL;DR: A new model is constructed for the response of the following vehicle based on the assumption that each driver sets limits to his desired braking and acceleration rates and it is shown that when realistic values are assigned to the parameters in a simulation, the model reproduces the characteristics of real traffic flow.
Journal ArticleDOI
Nonlinear Follow-the-Leader Models of Traffic Flow
TL;DR: A variety of nonlinear follow-the-leader models of traffic flow are discussed in this article in the light of available observational and experimental data, with emphasis placed on steady-state flow equations.
Journal ArticleDOI
Nonlinear Effects in the Dynamics of Car Following
TL;DR: In this paper, it was shown that a small amplitude disturbance propagates through a series of cars in the manner described by linear theories, except that the dependence of the wave velocity on the car velocity causes an accleration wave to spread as it propagates and a deceleration wave forming a stable shock.
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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