Results 31 to 40 of about 9,158 (291)

Expansion of the Fundamental Diagram from a Microscopic Multilane Modeling Framework of Mixed Traffic

Journal of Advanced Transportation, 2020
Microscopic modeling of mixed traffic (i.e., automaton-driven vehicles and human-driven vehicles) dynamics, particularly car-following, lane-changing, and gap-acceptance, provides the opportunity to gain a more accurate estimation of flow-density ...
Mudasser Seraj, Jiangchen Li, Tony Z. Qiu   +2 more
doaj   +1 more source

A Traffic Flow Simulation Framework for Learning Driver Heterogeneity from Naturalistic Driving Data using Autoencoders

International Journal of Automotive Engineering, 2019
This paper proposes a novel data-centric framework for microscopic traffic flow simulation with intra and inter driver heterogeneity. We utilized a naturalistic driving corpus of 46 different drivers to learn and model the behavior divergence of Japanese
Ekim Yurtsever, Chiyomi Miyajima, Kazuya Takeda   +2 more
doaj   +1 more source

Development of Parallel Algorithms for Intelligent Transportation Systems

Mathematics, 2022
This paper deals with the creation of parallel algorithms implementing macro-and microscopic traffic flow models on modern supercomputers. High-performance computing contributes to the development of intelligent transportation systems based on ...
Boris Chetverushkin, Antonina Chechina, Natalia Churbanova, Marina Trapeznikova   +3 more
doaj   +1 more source

MICROSCOPIC TRAFFIC FLOW MODEL WITH INFLUENCE OF PASSENGER TRANSPORT

, 2023
To analyze the influence of passenger transport on traffic flow, we develop a microscopic traffic flow model that incorporates various factors such as vehicle speed, acceleration, deceleration, lane-changing behavior, and interaction between different ...
Popov Stanislav, Polishchuk Volodymyr
core   +1 more source

Autonomous Vehicle Decision and Control through Reinforcement Learning with Traffic Flow Randomization

Machines
Most of the current studies on autonomous vehicle decision-making and control based on reinforcement learning are conducted in simulated environments. The training and testing of these studies are carried out under the condition of rule-based microscopic
Yuan Lin, Antai Xie, Xiao Liu
doaj   +1 more source

A Microscopic On-Ramp Model Based on Macroscopic Network Flows

Applied Sciences
While macroscopic traffic flow models adopt a fluid dynamic description of traffic, microscopic traffic flow models describe the dynamics of individual vehicles.
Niklas Kolbe, Moritz Berghaus, Eszter Kalló, Michael Herty, Markus Oeser   +4 more
doaj   +1 more source

Integrating micro and macro traffic control for mixed autonomy traffic

Communications in Transportation Research
During the transition to fully autonomous traffic systems, managing mixed traffic consisting of connected automated vehicles (CAVs) and human-driven vehicles (HDVs) is imperative.
Tingting Fan, Jieming Chen, Edward Chung
doaj   +1 more source

The Real-time Traffic Signal Control System for the Minimum Emission using Reinforcement Learning in V2X Environment

Chemical Engineering Transactions, 2019
As the population and vehicle ownership increase, emission of pollutants is also increasing. The percentage of GHG emission by transportation sector is about 21 % in 2015 (OECD), and this may be caused by frequent stop-and-go phenomenon or delay time of ...
Jooyoung Kim, Sangchul Jung, Kwangsik Kim, Seungjae Lee   +3 more
doaj   +1 more source

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

Molecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang, Ayesha Alvero, Yi Qin, Mingjin Wang, Alexandra Fox, Yanfeng Li, Michael Millman, Amy Kemper, Gil Mor, Xian Shuang Liu, Michael Chopp, Zheng Gang Zhang, Yi Zhang   +12 more
wiley   +1 more source

The Application of Cusp Catastrophe Theory to Analyze Road Traffic Potential Characteristics, Considering Headway, with Urban Data

Mathematics
Local data are essential for the analysis of abrupt conditions in traffic flow. In this research, we address the shortcomings of real-time traffic flow detection data, which inadequately represent the density characteristics of vehicular traffic.
Jian Gu, Zining Zeng, Shun Li, Wei Jing, Fuan Huang   +4 more
doaj   +1 more source