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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.

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Citations
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Journal ArticleDOI

Efficient Driving on Multilane Roads Under a Connected Vehicle Environment

TL;DR: An efficient vehicle driving system, based on detailed anticipation of surrounding traffic, that aims at optimizing the driving performance of individual vehicles and smoothening traffic flows on multilane roads is presented.
Journal ArticleDOI

A Driver Behavior-Based Lane-Changing Model for Urban Arterial Streets

TL;DR: This study contributes to the development of a comprehensive framework for modeling drivers' lane-changing maneuver on arterials by using driver behavior-related data and validation results indicated that the new model better replicates the observed traffic under various levels of flow.
Journal ArticleDOI

Modeling Vehicle Interactions during Lane-Changing Behavior on Arterial Streets

TL;DR: The main goal of this study is to quantify the vehicle interactions during a lane-changing maneuver, and indicates that the new model better replicates the observed traffic under different levels of congestion.
Book

Introduction to Intelligent Systems in Traffic and Transportation

TL;DR: This book aims at giving a broad introduction into the basic but relevant concepts related to transportation systems, targeting researchers and practitioners from computer science and information technology.
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

Gentry Lee
- 01 Aug 1966 - 
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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