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3 articles for “multimodal transport”
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A Critical Review on Measuring Accessibility of Multimodal Transport Systems in Indian Cities
Abstract: Measuring accessibility is crucial for evaluating the performance of multimodal transport systems in Indian cities. This review paper examines the methodologies, indicators, and applications of accessibility measurement in the context of developing countries, focusing on Indian urban areas. The paper discusses the challenges posed by data limitations, informal transport modes, and socioeconomic disparities, and highlights the need for adapting accessibility measures to the Indian context. Case studies from major Indian …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 1–9 Read article
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Digital Transformation in Public Transport Management
Abstract: The digital transformation of public transport systems has emerged as a critical driver for improving urban mobility and addressing the growing challenges of congestion, inefficiency, and environmental sustainability. Public transport management systems are advancing through the integration of cutting-edge technologies like cloud computing, artificial intelligence (AI), big data analytics, and the Internet of Things (IoT). These innovations enhance efficiency, intelligence, and user experience, making transportation more seamless and responsive to …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 17–21 Read article
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Multimodal Generative AI for Vehicular Applications at Edge
Abstract: This paper explores how the rapid advancements in vehicular technology, including autonomous driving and intelligent transportation systems, have driven the need for real-time data processing and decision-making. Multimodal generative AI, when deployed at the edge, offers a powerful solution for vehicular applications by leveraging diverse data sources such as video, audio, sensor inputs, and environmental data. This paper explores the integration of multimodal generative AI with edge computing in vehicular …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 27–34 Read article