Catalogue/Tier 2 · Job Roles/Engineering & Tech

AI+ Traffic & Transportation Planners cover

T2-110 · Tier 2 · Job Roles

AI+ Traffic & Transportation Planners

Model, Plan and Optimise Transport Networks with AI

The TA is done. The documentation isn't.

You spend more time writing about transport work than doing it. Transport Assessments, Environmental Impact Assessment chapters, consultation responses, alternatives matrices — the documentation burden is real, and it grows every year. This book gives you a practical framework for using AI across the full transport planning workflow: from traffic data narration and TA drafting to GIS output summaries, public consultation at scale, and scheme design documentation. Ten chapters, 28 prompt templates, and the ROUTE Protocol — the five-question professional accountability chain for AI-assisted statutory submissions. Built by an AI engineering firm for transport planners who know the work — and want AI to handle more of the writing around it.

Tier

Tier 2 · Job Roles

Category

Engineering & Tech

Format

Guide

Updated

Q2 2026

Read full bookSee in 2 bundles

Inside

28 ready-to-use prompt templates for TA sections, consultation FAQs, EIA chapters, PTAL narratives, and scheme design matrices
The ROUTE Protocol — a five-question accountability chain for AI-assisted statutory submissions
A clear division of labour between specialist modelling tools and AI — so you never confuse what AI can do with what it can't
Chapter-by-chapter workflows for traffic data narration, stakeholder engagement, environmental assessment, and GIS output writing
A 90-day adoption plan for individual planners, team leads, and practice directors

Who this is for

Traffic and transportation planners working in consultancies, local highway authorities, national transport agencies, and urban development bodies. Typically degree-qualified in civil engineering, transport planning, geography, or urban planning — or working towards chartered status via CIHT, TPS, or ICE. 3–15 years of experience. Uses specialist software (VISSIM, SATURN, CUBE, AIMSUN, ArcGIS, Paramics) but is not a programmer.

Also for:Highway engineers, urban planners, transport policy advisors, and project managers working on infrastructure delivery. Also relevant for transport consultancy team leaders and directors evaluating AI adoption across their practices.

You’ll be able to

Apply AI tools to traffic data analysis, demand forecasting narration, and network assessment tasks
Evaluate AI-generated transport document sections critically before use in statutory planning submissions
Design AI-assisted workflows for transport reports, scheme design documentation, and environmental assessments
Build a reusable AI prompt library for transportation planning tasks including TA drafting, public consultation, and GIS narration
Develop a 90-day AI adoption plan for a transportation planning team or project

What’s inside

Diagnostic: How AI-ready are you as a transport planner?
Chapter 1: AI in Transportation Planning Right Now
Chapter 2: The Planner's AI Toolkit
Chapter 3: Traffic Modelling and Data Analysis with AI
Chapter 4: Transport Assessments and Planning Reports with AI
Chapter 5: Stakeholder Engagement and Public Consultation with AI
Chapter 6: Scheme Design and Alternatives Assessment with AI
Chapter 7: Environmental Assessment and Sustainability with AI
Chapter 8: Spatial Data, GIS and Visualisation with AI
Chapter 9: Professional Ethics, Liability and AI Governance
Chapter 10: Your AI Adoption Plan for Transportation Planning
Back matter: Skill Summary · Recommended Next Reads · Glossary · Tool Reference

Built by an AI engineering firm for transport planners who know the work — and want AI to handle more of the writing around it.

Appears in 2 bundles

IND-07The Government & Public Sector Pack IND-08The Engineering & Construction AI Pack

Reads well with

Often packaged with this title.