Journal ArticleDOI
Car following theory with lateral discomfort
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TLDR
In this paper, a car following model was developed with particular reference to weak discipline of lane-based driving, based on the discomfort caused by lateral friction between vehicles, and the movement of the following vehicle was formulated as a function of the off-centre effects of its leader(s).Abstract:
A car following model has been developed with particular reference to weak discipline of lane-based driving. The theory is based on the discomfort caused by lateral friction between vehicles. The movement of the following vehicle was formulated as a function of the off-centre effects of its leader(s). This incorporation of lateral friction offers a potential breakthrough in the fields of car following theory and microscopic simulation of traffic flow. Using a stopping-distance car following approach, the simulation presented in the paper pointed out the effect of the travel path width on the speed of the following vehicle, and the reduced following distance with increased lateral separation between the leader and follower. It was also shown that a special case of the proposed model (i.e. when the maximum escape speed is zero) produced the same results as the base model did for the conventional car following case. The simulation behaved rationally giving credibility to the author's staggered car following theory.read more
Citations
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Journal ArticleDOI
Speed-spacing dependency on relative speed from the adjacent lane: New insights for car following models
Balaji Ponnu,Benjamin Coifman +1 more
TL;DR: The sympathy of speeds persists throughout the day, even when the study lane serves GP vehicles, and the relative speed to the adjacent lane provided a better predictor of behavior than whether or not the HOV restriction is active.
Journal ArticleDOI
Improved Car-Following Strategy Based on Merging Behavior Prediction of Adjacent Vehicle From Naturalistic Driving Data
TL;DR: A car-following strategy based on merging prediction of adjacent vehicles is developed from the results of naturalistic on-road experiments and provides a reference for improving intelligent vehicle control algorithms and enhancing the acceptability of intelligent systems.
Journal ArticleDOI
An extended car-following model incorporating the effects of lateral gap and gradient
TL;DR: Wang et al. as discussed by the authors proposed a car-following model to capture the effects of road geometry characteristics on traffic flow behavior, which is effective to rapidly dissipate the effect of a sudden acceleration or deceleration from the lead vehicle.
Journal ArticleDOI
Autonomous Vehicle Evaluation: A Comprehensive Survey on Modeling and Simulation Approaches
TL;DR: In this paper, a review of the advances in the area of the evaluation of partially or fully autonomous vehicles, starting with naturalistic field operational tests (N-FOTs), is presented.
Journal ArticleDOI
Modeling Vehicle Interactions During Merge in Congested Weaving Section of Freeway Ramp
TL;DR: In this article, a series of acceleration-deceleration models were developed for the merging vehicle, its putative leader (PL), and their putative follower (PF), and visual angle data were used as the stimuli to reflect the influence of longitudinal and lateral vehicle movements.
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.
Book
Traffic flow fundamentals
TL;DR: The remaining portion of the book, Chapters 8 through 13, is devoted to analytical techniques involving the total traffic flow situation; chapter subjects are, respectively, demand-supply analysis, capacity analysis, traffic stream models, shock wave analysis, queueing analysis, and computer simulation models.
Journal ArticleDOI
Car-following: a historical review
Mark Brackstone,Mike McDonald +1 more
TL;DR: In this article, the authors assess the range of options available in the choice of car-following model, and assess just how far work has proceeded in our understanding of what, at times, would appear to be a simple process.
Journal ArticleDOI
Car following models and the fundamental diagram of road traffic
TL;DR: A review of car-following and control-system models for traffic flow can be found in this article, where a new model which appears to have some merit is also presented.
Journal ArticleDOI
In traffic flow, cellular automata = kinematic waves
TL;DR: In this paper, the authors proved that the vehicle trajectories predicted by a simple linear car-following model, CF(L), the kinematic wave model with a triangular fundamental diagram, KW(T), and two cellular automata models CA(L) and CA(M) match everywhere to within a tolerance comparable with a single jam spacing.