Crowd intelligence for sustainable futuristic intelligent transportation system: a review

R Chandra Shit - Iet intelligent transport systems, 2020 - Wiley Online Library
Connected vehicles and fully automated driving systems are the main objectives of the
future transportation system. A safe interactive system that interacts with people and things is …

Estimation of real-driving emissions for buses fueled with liquefied natural gas based on gradient boosted regression trees

Y Pan, S Chen, F Qiao, SV Ukkusuri, K Tang - Science of the Total …, 2019 - Elsevier
Nowadays, more and more conventional diesel buses are being replaced by new-energy
buses in many cities in China. Although new-energy buses are more environmentally …

Estimating gaseous pollutants from bus emissions: A hybrid model based on GRU and XGBoost

L Hu, C Wang, Z Ye, S Wang - Science of The Total Environment, 2021 - Elsevier
In urban areas, traffic-related contamination is one of the main contributors to environmental
deterioration, and the pollution from public transit buses is a major component. To mitigate …

Spatial analysis of environmental impacts of highway projects with special emphasis on mountainous area: an overview

P Banerjee, MK Ghose - Impact assessment and project appraisal, 2016 - Taylor & Francis
Mountains are progressively being invaded by highways for development and defence
purposes. Environmental impact assessment (EIA) of highway projects in mountainous …

Using deep learning to extend the range of air pollution monitoring and forecasting

P Hähnel, J Mareček, J Monteil, F O'Donncha - Journal of Computational …, 2020 - Elsevier
Across numerous applications, forecasting relies on numerical solvers for partial differential
equations (PDEs). Although the use of deep-learning techniques has been proposed, actual …

Green transportation choices with IoT and smart nudging

A Andersen, R Karlsen, W Yu - … of Smart Cities: Software Services and …, 2018 - Springer
Transportation and traffic have become a serious issue around the world. Congestion has
severe negative consequences for public health, productivity and the environment, and less …

Evaluating the environmental impact of traffic congestion based on sparse mobile crowd-sourced data

P Hao, C Wang, G Wu… - … IEEE Conference on …, 2017 - ieeexplore.ieee.org
Traffic congestion at arterial intersections and freeway bottleneck degrades the air quality
and threatens the public health. Conventionally, air pollutant are monitored by sparsely …

Emission exposure optimum for a single-destination dynamic traffic network

Y Tan, R Ma, Z Sun, P Zhang - Transportation Research Part D: Transport …, 2021 - Elsevier
In this paper, an integrated dynamic framework is applied to model human exposure to
vehicular emissions. The framework contains three components: a time-dependent …

Investigation of urban air quality using CFD simulation at traffic congested hot spots

DS Reshmy, M Binu Sara, K Swarnalatha, VA Arya - Sādhanā, 2024 - Springer
Rapid urbanisation has led to a remarkable increase in travel demand as well as the
number of vehicles globally. Inadequate road networks, especially in developing countries …

Emission modeling for new-energy buses in real-world driving with a deep learning-based approach

Y Pan, W Zhang, S Niu - Atmospheric Pollution Research, 2021 - Elsevier
Nowadays, new energy bus is gradually replacing those with diesel engines with its better
environmental protection characteristics. As one of the main types of new energy buses …