The inefficiency of the transportation system will lead to serious environmental degradation, e.g., air pollution, and negative social and economic consequences, thereby transportation-related challenges such as congestion, road safety, vehicular emissions, etc., have been ranked as the major troubles of human societies.
The current advancements in geo-sensing, smart algorithms, cloud computing, data science, and processing technologies could somehow and somewhat address some of those serious challenges. For example, the intelligent transportation systems could significantly enjoy intelligent geo-sensing technologies and artificial intelligence algorithms to optimize traffic management. These state-of-the-art packages could support new technologies and services such as the Internet of Things, eco-driving/routing, signalized intersections, etc., which can reduce to some extent fuel consumption and on-road emissions.
This study by Ghaffarpasand and colleagues provides a summary of the contribution of transportation to civilization, development, economy, and environmental degradation. It reviews the role of intelligent geo-sensing technologies in moving toward sustainable, active, and green transport. It concludes by explaining that exiting or due geodata science/technologies could somehow address the environmental drawbacks of the transportations and can be considered as a promising solution for the challenges ahead.
This study was published as a chapter in the book, titled, 'Artificial Intelligence and Data Science in Environmental Sensing,' in 2022.
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