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
A real-time network traffic simulation model for atms applications: part i—simulation methodologies
TL;DR: The proposed methodologies have incorporated three key features essential for IVHS operations: the capability of simulating both freeways and surface street networks as an integrated network, a path-processing capability for representing individual driver's route choice behavior with and without access to Advanced Traveler Information Systems, and the capability to increase the execution speed for real-time operations.
Proceedings ArticleDOI
Randomized Adversarial Imitation Learning for Autonomous Driving
MyungJae Shin,Joongheon Kim +1 more
TL;DR: In this article, a randomized adversarial imitation learning (RAIL) method is proposed to imitate the coordination of an autonomous vehicle equipped with advanced sensors, which is trained through derivative-free optimization for the decision maker that coordinates the proper ADAS functions, e.g., smart cruise control and lane keeping system.
Journal ArticleDOI
Applying Markov decision process to understand driving decisions using basic safety messages data
Mohsen Kamrani,Mohsen Kamrani,Aravinda Ramakrishnan Srinivasan,Aravinda Ramakrishnan Srinivasan,Subhadeep Chakraborty,Asad J. Khattak +5 more
TL;DR: This study applies a Markov Decision Process (MDP) framework to understand driving behavior in terms of acceleration, deceleration and maintaining speed decisions and shows that as the number of objects increases around a host vehicle, the driver prefer to accelerate in order to escape the crowdedness around them.
Modelling Safety Impacts of Automated Driving Systems in Multi-Lane Traffic
TL;DR: There is an urgent need to study the impacts of ADS functionalities and design factors on traffic safety, as there is no clarity on if they would enhance or detriment traffic safety and at what conditions and magnitude.
Journal ArticleDOI
Research on Mandatory Lane-Changing Behavior in Highway Weaving Sections
TL;DR: An analytical MCL method based on the driver’s psychological characteristics is proposed and shows significant improvements in the lane-changing safe recognition of CAVs in heterogeneous traffic flow (both CAVs and HVs) in the future.
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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