Environmental Sustainability through Intelligent Transportation System for Traffic Management in the Smart Cities
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Abstract
Congestion, hazardous driving, and stormy weather can all cause public transportation delays in urban areas, making life difficult for those who rely on it. Decision-makers in the public transportation sector are starting to think about their customers' resilience and the speed with which they can restore regular service. Few studies have been undertaken in recent years on the reliability of urban rail networks, and those have barely scratched the surface of the issue. The automobile industry and its researchers and manufacturers have prioritized several goals, including reducing production costs, reducing carbon dioxide emissions, improving driver comfort, and reducing trip times. If vehicles could exchange information with one another, it would have far-reaching implications for the transportation and security sectors. Professionals in each field may have varying objectives, making settling on an ordinary course of action difficult. Involvement and contributions from citizens benefit the city and individual neighbourhoods. A city's economic health, environmental health, transportation network, healthcare system, and educational opportunities are all directly influenced by this endeavour. Considering these many considerations, multiple groups have proposed solutions to the problem. The "smart city" movement in urban planning views cities as living, breathing ecosystems. People use various services and tools to facilitate their daily lives across multiple models in space and time. Multiscale modeling offers many opportunities and limits for advancing smart city research due to the enormous diversity of complex systems in smart cities. In addition to making systems much more reliable, these technologies or upgrades to the city's current ITS infrastructure can save a lot of money and make things run much more smoothly.
