[HTML][HTML] Modelling braking behaviour of distracted young drivers in car-following interactions: A grouped random parameters duration model with heterogeneity-in …
Braking is an important characteristic of driving behaviour that has a direct relationship with
rear-end collisions in a car-following task. Braking becomes more crucial when drivers' …
rear-end collisions in a car-following task. Braking becomes more crucial when drivers' …
Cooperate or not? Exploring drivers' interactions and response times to a lane-changing request in a connected environment
Lane-changing is one of the complex driving tasks that depends on the number of vehicles,
objectives, and lanes. A driver often needs to respond to a lane-changing request of a lane …
objectives, and lanes. A driver often needs to respond to a lane-changing request of a lane …
Driving behaviour modelling in the context of heterogeneous traffic and poor lane discipline conditions: the state of the art and beyond
This paper comprehensively reviews driving behaviour in the context of heterogeneous
traffic and poor lane discipline condition. Organising such driving behaviour models into two …
traffic and poor lane discipline condition. Organising such driving behaviour models into two …
[HTML][HTML] Unveiling gap acceptance behaviour during lane change with EDIV data: A deep dive into driving behaviour on expressway using a three level mixed effect …
Lane change has a potential significance in road safety. Gap acceptance phenomena
serves as a primary and critical phase in lane change maneuver. This study aims to …
serves as a primary and critical phase in lane change maneuver. This study aims to …
Effect of construction work zone on traffic stream parameters using vehicular trajectory data under mixed traffic conditions
The research work presented is originated with the intent of studying driving behavior,
especially in a lateral direction under the influence of construction work activities under …
especially in a lateral direction under the influence of construction work activities under …
Modeling vehicle collision instincts over road midblock using deep learning
The present research aims to understand the safety over the midblock road sections and
proposes a safety framework using the conventional Time to Collision (TTC) measure. In the …
proposes a safety framework using the conventional Time to Collision (TTC) measure. In the …
Evaluating lateral interactions of motorized two-wheelers using multi-gene symbolic genetic programming
Complex maneuvering patterns are typical of motorized two-wheelers (MTWs), and their
widespread adoption in many countries has spurred a growing response from transport …
widespread adoption in many countries has spurred a growing response from transport …
Extraction and analysis of microscopic traffic data in disordered heterogeneous traffic conditions
RB Amrutsamanvar, BR Muthurajan… - Transportation …, 2021 - Taylor & Francis
This paper discusses the development of a novel off-line vision-based system to obtain the
naturalistic trajectory database of traffic streams from recorded video footages. The …
naturalistic trajectory database of traffic streams from recorded video footages. The …
[HTML][HTML] Predict the performance of driverless car through the cognitive data analysis and reliability analysis based approach
V Khare, A Jain - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
This research aims to predict the performance of driverless cars by employing a cognitive
data analysis and reliability analysis-based approach. With the advancement of autonomous …
data analysis and reliability analysis-based approach. With the advancement of autonomous …
[图书][B] AI and machine learning impacts in intelligent supply chain
Businesses are facing an unprecedented challenge-the urgent need to adapt and thrive in a
world where intelligent factories and supply chains are the new norm. The digital …
world where intelligent factories and supply chains are the new norm. The digital …