[HTML][HTML] Multianticipation for string stable adaptive cruise control and increased motorway capacity without vehicle-to-vehicle communication
Abstract Adaptive Cruise Control (ACC) systems have been expected to solve many
problems of motorway traffic. Now that they are widespread, it is observed that the majority of …
problems of motorway traffic. Now that they are widespread, it is observed that the majority of …
Multi-vehicle anticipation-based driver behavior models: a synthesis of existing research and future research directions
Multi-vehicle anticipation (MVA) refers to drivers' ability to consider stimuli from several
vehicles ahead in their maneuvering decisions, such as longitudinal, lateral, and a …
vehicles ahead in their maneuvering decisions, such as longitudinal, lateral, and a …
Discrete choice models with multiplicative stochasticity in choice environment variables: Application to accommodating perception errors in driver behaviour models
SK Nirmale, AR Pinjari - Transportation Research Part B: Methodological, 2023 - Elsevier
This paper presents a mixed multinomial logit-based discrete choice modelling framework to
accommodate decision-makers' errors in perceiving choice environment variables that do …
accommodate decision-makers' errors in perceiving choice environment variables that do …
[HTML][HTML] A review on following behavioral models: Regular to connected autonomous vehicle heterogeneity
Following behavior, an integral part of driving, is vital in describing the longitudinal
interaction among vehicles. The traffic composition of the stream influences the following …
interaction among vehicles. The traffic composition of the stream influences the following …
Traffic conflict assessment using macroscopic traffic flow variables: A novel framework for real-time applications
The present study develops a comprehensive traffic conflict assessment framework using
macroscopic traffic state variables. To this end, vehicular trajectories extracted for a midblock …
macroscopic traffic state variables. To this end, vehicular trajectories extracted for a midblock …
Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction
Multi-agent trajectory prediction is essential in autonomous driving risk avoidance and traffic
flow control. However the heterogeneous traffic density on interactions which caused by …
flow control. However the heterogeneous traffic density on interactions which caused by …
Modeling conflict risk with real-time traffic data for road safety assessment: a Copula-based joint approach
This study proposes a conflict-based traffic safety assessment method by associating conflict
frequency and severity with short-term traffic characteristics. Instead of analysing historical …
frequency and severity with short-term traffic characteristics. Instead of analysing historical …
A two-dimensional, multi-vehicle anticipation, and multi-stimuli based latent class framework to model driver behaviour in heterogeneous, disorderly traffic conditions
This study formulates a latent class-based driving behaviour framework for modelling
vehicles' two-dimensional (2D) movements while considering drivers' strategic intents and …
vehicles' two-dimensional (2D) movements while considering drivers' strategic intents and …
Empirical investigation of fundamental diagrams in mixed traffic
N Maiti, BR Chilukuri - IEEE Access, 2023 - ieeexplore.ieee.org
A thorough understanding of the fundamental relation of traffic flow variables is critical for the
efficient operation of traffic systems. However, their relationships in mixed traffic are …
efficient operation of traffic systems. However, their relationships in mixed traffic are …
A recurrent neural network model for predicting two-leader car-following behavior
Unlike lane-based traffic where each driver has a distinct leader, the subject driver in
disorderly traffic may interact with multiple vehicles in-front. The existence of lateral …
disorderly traffic may interact with multiple vehicles in-front. The existence of lateral …