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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Linking microsimulators of bus stops and traffic operations: the case of PASSION and BusSIGSIM
Rodrigo Fernandez,Nick Tyler +1 more
TL;DR: One practical outcome of this study is that the improvement in the representation of buses in microscopic traffic simulators will allow the engineers to take into account traffic management measures that otherwise will not be assessed.
Paper title: Evaluation of lane changing and merging in microsimulation models
TL;DR: In this article, the authors investigated and evaluated the lane changing and merging abilities of three traffic simulators, AIMSUN, VISSIM and ARTEMiS, under congested flow conditions.
Proceedings ArticleDOI
WLC25-1: Dynamic Bandwidth Allocation for Wireless Networks in High-Mobility Environments
Raffaele Bolla,Matteo Repetto +1 more
TL;DR: This paper proposes a new simple heuristic which exploits the prediction of the system behaviour made by some suitable network model and a more traditional approach based on a stochastic algorithm is derived from the Monte Carlo methods for comparison.
Posted Content
Maneuver Control based on Reinforcement Learning for Automated Vehicles in An Interactive Environment.
TL;DR: This paper designs a form of the Q-function approximator that consists of neural networks but also has a closed-form greedy policy, and proposes a reinforcement learning based approach to train the vehicle agent for safe, comfortable, and efficient maneuvers under interactive driving situations.
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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