Real-time deep reinforcement learning based vehicle navigation

S Koh, B Zhou, H Fang, P Yang, Z Yang, Q Yang… - Applied Soft …, 2020 - Elsevier
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 …

Air quality index prediction using IDW geostatistical technique and OLS-based GIS technique in Kuala Lumpur, Malaysia

HJ Jumaah, MH Ameen, B Kalantar… - … , Natural Hazards and …, 2019 - Taylor & Francis
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 …

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 …

[PDF][PDF] An optimized artificial neural network model using genetic algorithm for prediction of traffic emission concentrations

AM Abdullah, RSA Usmani, TR Pillai… - Int. J. Adv. Comput. Sci …, 2021 - academia.edu
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 …

[HTML][HTML] TRAPSim: An agent-based model to estimate personal exposure to non-exhaust road emissions in central Seoul

H Shin, M Bithell - Computers, Environment and Urban Systems, 2023 - Elsevier
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 …

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 …

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) …

CFD modeling of traffic tidal flow: Assessment of pollutant dispersion

Z Li, T Ming, T Shi, H Zhang, CY Wen, Y Wu, C Wang… - Urban Climate, 2023 - Elsevier
Pollutant distribution remains poorly understood when traffic tidal flows (TTFs) happen. By
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

M Afkar, R Gavagsaz-Ghoachani, W Saksiri… - IEEE …, 2024 - ieeexplore.ieee.org
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 …

An Empirical Framework to Quantify the Individual Traffic Congestion Cost for Private Motorized Vehicle Users

I Nawaz, M Almoshaogeh, T Ahmed… - SAGE …, 2024 - journals.sagepub.com
Traffic congestion negatively affects the economy, human well-being, safety, and
environment in both developed and develo** countries. In the past, numerous studies …