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
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Proceedings ArticleDOI
Modeling and simulation of vehicular networks
TL;DR: In this article, a comprehensive set of both traffic and network simulators as well as possible conversion tools and integration alternatives for vehicular network simulations are surveyed, and the authors provide helpful insights as they run their first vehicular simulations.
Journal ArticleDOI
Calibration and Validation of Probabilistic Discretionary Lane-Change Models
TL;DR: In this article, the authors present a methodologies to calibrate and validate probabilistic lane change (LC) models, both microscopically and macroscopically, using a likelihood.
Proceedings ArticleDOI
An Asynchronous Synchronization Strategy for Parallel Large-scale Agent-based Traffic Simulations
TL;DR: A novel asynchronous conservative synchronization strategy named Mutual Appointment is proposed to address high synchronization overhead in parallel large-scale agent-based traffic simulations and improves the speed-up of the parallel simulation compared to the barrier method.
Journal ArticleDOI
Modeling Speed Disturbance Absorption Following Current State–Control Action–Expected State Chains: Integrated Car-Following and Lane-Changing Scenarios
TL;DR: In this paper, the authors explored driver behavior in a paired car-following mode in response to a speed disturbance from a front vehicle and developed a current state-control action-expected state (SAS) chain to provide a framework for modeling of the hierarchy of expected actions incurred during the need for speed disturbance absorption.
Book ChapterDOI
Vehicular Ad Hoc Network Mobility Models Applied for Reinforcement Learning Routing Algorithm
TL;DR: This work compares the performance of a reinforcement learning algorithm with AODV which is considered as one of the robust routing protocols under varying traffic and load conditions and tries to correlate its corresponding impact on the performances of routing protocols.
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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