Real-time deep reinforcement learning based vehicle navigation
Traffic congestion has become one of the most serious contemporary city issues as it leads
to unnecessary high energy consumption, air pollution and extra traveling time. During the …
to unnecessary high energy consumption, air pollution and extra traveling time. During the …
Air quality index prediction using IDW geostatistical technique and OLS-based GIS technique in Kuala Lumpur, Malaysia
It is known, that the polluted air influences straightforwardly on human wellbeing. Along
these lines, the air quality checking surveys the nature of air and recognize defiled …
these lines, the air quality checking surveys the nature of air and recognize defiled …
Wireless sensor network dependable monitoring for urban air quality
HAD Nguyen, QP Ha - IEEE Access, 2022 - ieeexplore.ieee.org
This paper presents an Internet of Things-enabled low-cost wireless sensor network with
newly-developed dependable schemes to improve reliability for monitoring air quality in …
newly-developed dependable schemes to improve reliability for monitoring air quality in …
[PDF][PDF] An optimized artificial neural network model using genetic algorithm for prediction of traffic emission concentrations
Global warming and climate change have become universal issues recently. One of the
leading sources of climate change is automobiles. Automobiles are the prime source of air …
leading sources of climate change is automobiles. Automobiles are the prime source of air …
[HTML][HTML] TRAPSim: An agent-based model to estimate personal exposure to non-exhaust road emissions in central Seoul
Non-exhaust emissions (NEEs) from brake and tyre wear cause detrimental health effects,
yet their relationship with mobility has not been examined rigorously. We constructed an …
yet their relationship with mobility has not been examined rigorously. We constructed an …
Optimizing Freight Vehicle Routing in Dynamic Time-Varying Networks with Carbon Dioxide Emission Trajectory Analysis
R Song, W Qin, W Shi, X Xue - Sustainability, 2023 - mdpi.com
In this study, we formulate a freight vehicle path-planning model in the context of dynamic
time-varying networks that aims to capture the spatial and temporal distribution …
time-varying networks that aims to capture the spatial and temporal distribution …
A combined modal split and traffic assignment model with capacity constraints for siting remote park-and-ride facilities
B Hou, S Zhao, H Liu - IEEE Access, 2020 - ieeexplore.ieee.org
From the perspective of urbanization, commuters' long-distance and diversified trips are
suitable for the connection between city and suburbs. The existing park-and-ride (P&R) …
suitable for the connection between city and suburbs. The existing park-and-ride (P&R) …
CFD modeling of traffic tidal flow: Assessment of pollutant dispersion
Pollutant distribution remains poorly understood when traffic tidal flows (TTFs) happen. By
conducting computational fluid dynamic (CFD) simulations, the research efforts first focus on …
conducting computational fluid dynamic (CFD) simulations, the research efforts first focus on …
Enhancement of the Commandable areas of a Modular DC-DC Converter with Anti-windup Synthesis in fuel cell systems
This study investigates the commandability in a DC-DC converter for fuel cell applications. In
this modular system, each module is established on a three-level converter. The operation …
this modular system, each module is established on a three-level converter. The operation …
An Empirical Framework to Quantify the Individual Traffic Congestion Cost for Private Motorized Vehicle Users
Traffic congestion negatively affects the economy, human well-being, safety, and
environment in both developed and develo** countries. In the past, numerous studies …
environment in both developed and develo** countries. In the past, numerous studies …