Transport Planning in the AI Era: A Practitioner's Handbook
"Transport planning in India is being reshaped by data and artificial intelligence yet most practitioners learn Al from generic sources that ignore mixed traffic, Indian agencies, and Indian codes. This handbook closes that gap."
Seven parts move from foundations to frontiers.
Part I: It covers India's policy architecture and the land use-transport feedback loop.
Part II It explains survey manual and GIS workbench - household travel surveys, FASTag and mobile-CDR data, and the Python geospatial stack.
Part III: It explains how to built the four-step model from trip generation through logit mode choice, Wardrop equilibrium, and activity-based simulation, with a platform comparison of CUBE, Visum, Emme and TransCAD.
Part IV: It covers traffic flow theory, signal design, microsimulation, and reinforcement-learning signal controllers.
Part V It spans nine application domains: public transport, freight, parking and TDM, NMT and street design, road safety, electric mobility, emissions, shared mobility, and equity.
Part VI: It delivers the AI toolkit - gradient boosting, computer vision, forecasting, and generative AI.
Part VII: It closes on procurement, appraisal, ethics, and MLOps.
26 chapters - 90 figures - 132 formulas - 30 India case studies - 153 exercises.
Written entirely for Indian practice - IRC codes, Indo-HCM, iRAD, and real CMPs and DPRs.
"Use the new tools. Keep the planner judgement."