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
An Integrated Model for Autonomous Speed and Lane Change Decision-Making Based on Deep Reinforcement Learning
TL;DR: In this paper , a double-layer decision-making model is proposed for autonomous driving, which uses two deep reinforcement learning algorithms for the upper and lower layers to process large-scale mixed state space and ensure the composite action output of lane changing decisions and car-following decisions.
Strategic Trajectory Planning of Highway Lane Change Maneuver with Longitudinal Speed Control
TL;DR: A fundamental framework has been built to investigate high-way longitudinal control with lane change trajectory generated by geometric high order polynomial and the concept of driver being responsible of lateral control with automated longitudinal control is deployed in order to realize the mobility and safety benefits.
Empirical Investigation of Strategy-Based Lane Change Choice: A driving experiment and questionnaire
Dissertation
Modélisation microscopique et macroscopique du trafic : Impact des véhicules automatisés sur la sécurité du conducteur
TL;DR: In this article, an Adaptive Cruise Control (ACC) model is presented, which is based on the Intelligent Driver Model (IDM) and is used to simulate the presence of vehicles in the environment.
Journal ArticleDOI
Minimum Time Lane Changing Problem of Vehicle Handling Inverse Dynamics Considering the Driver’s Intention
TL;DR: By solving driver’s optimal handling input, this paper presents a novel Lane Changing Assistance System (LCAS) which can provide guidance for driver's lane changing behavior and may provide a reference for the research of LCAS and unmanned vehicles.
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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