Cluster-aware deep learning framework for bus arrival time prediction in Indian cities
A study in Delhi, Mysore and Surat found that clustering road segments before training deep-learning models improved bus arrival-time predictions ...
A study in Delhi, Mysore and Surat found that clustering road segments before training deep-learning models improved bus arrival-time predictions ...
A new study of 320 Dhaka commuters reveals that tolerance of underage and unlicensed bus drivers is shaped by weak ...
A new study provides causal evidence that the opening of Switzerland's Ceneri Base Tunnel increased public transport use among commuters ...
A new survey-based study in North Macedonia introduces the concept of multiple energy vulnerability, showing that seven socio-spatial characteristics are ...
A new survey-based study of Lucknow, India finds that over half of commuters avoid public transport, with multinomial regression showing ...
A new study argues that German accessibility planning should be grounded in the concepts of transport justice and mobility justice ...
A survey of 384 small-business owners and employees in Dhaka reveals starkly different commuting burdens and mobility inequalities between the ...
A new study applies a log-frame evaluation to Harare's congestion, arguing that the city's gridlock stems from an extreme concentration ...
A cross-sectional study of 608 adults with chronic conditions in İstanbul finds that appointment waiting times, transport mode, travel burden, ...
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© 2025 Scienmag - Science Magazine