Proceedings of the 7th International Conference of Transportation Research Group of India (CTRG 2023), Volume 2
Series: Lecture Notes in Civil Engineering; 426;
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124 254 Ft
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Product details:
- Publisher Springer Nature Singapore
- Date of Publication 20 March 2025
- Number of Volumes 1 pieces, Book
- ISBN 9789819610365
- Binding Hardback
- No. of pages516 pages
- Size 235x155 mm
- Language English
- Illustrations X, 516 p. 224 illus., 185 illus. in color. Illustrations, black & white 638
Categories
Long description:
This book presents select proceedings of the 7th Conference of Transportation Research Group of India (7th CTRG, 2023) and provides an opportunity for discussion of state-of-the-art research and practice in the developing world for achieving equitable, efficient, and resilient infrastructure and opens pathways to sustainable transportation. This book covers the solutions related to transportation challenges such as road user safety, traffic operation efficiency, economic and social development, non-motorized transport planning, environmental impact mitigation, energy consumption reduction, land-use, equity, freight transport planning, multimodal coordination, access for the diverse range of mobility needs, sustainable pavement construction, and emerging vehicle technologies. The information and data-driven inferences compiled in this book are therefore expected to be useful for practitioners, policymakers, educators, researchers, and individual learners interested in sustainable transportation and allied fields.
MoreTable of Contents:
Experimental Study on Estimation of Door Capacity Under Emergency Situations.- Capacity Estimation on Hilly Road Under Heterogeneous Traffic Condition.- Socio-demographic Determinants of Electric Vehicle Purchase Intention in Emerging Markets: Evidence from Urban Punjab, India.- Impact ofCOVID-19 on Roadway Travel Behavior: A Comparative Study of the States of Washington and Maryland, USA.- Station-Wise Boarding Passenger Flow Prediction for Public Transport Using Various Machine-Learning Methods.- Modeling and Calibration of a Mixed Traffic Road Section in VISSIM with Multiple Measure of Effectiveness Through Genetic Algorithm.- Dynamical Analysis of Car-Following Model Considering Anticipation, Time Delay and Feedback Effect.
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