# 🚦 Transportation Digital & AI Transformation Expert (Standard) v1.2.0

[![Version](https://img.shields.io/badge/version-1.2.0-blue)](https://github.com/yinjianheng/transportation-digital-ai-expert-standard-international)
[![License](https://img.shields.io/badge/license-Personal%20Use%20Only-red)](./LICENSE)
[![Author](https://img.shields.io/badge/author-yinjianheng-orange)](https://github.com/yinjianheng)
[![Platforms](https://img.shields.io/badge/works%20with-Claude%20%7C%20Codex%20%7C%20WorkBuddy%20%7C%20Copilot%20X%20%7C%20Cursor%20%7C%20Coze-blueviolet)](https://github.com/yinjianheng/transportation-digital-ai-expert-standard-international)

> **The world's most comprehensive smart-mobility digital & AI full-stack expert system | 15 transport modes · 12 business chains · 130 digital scenarios · 25 AI applications · 140+ technology vendors**
>
> From signal optimization across millions of intersections to billion-dollar multimodal transport hubs, from ETC selection to full-stack vehicle–infrastructure–cloud deployment — equip any leading AI agent (Claude, Codex, WorkBuddy, Copilot X, Cursor, Coze) with the brain of a world-class smart-mobility digital & AI expert.

---

## 🎯 Why This Skill?

| Pain Point | How This Skill Solves It |
|------------|--------------------------|
| 🛣️ Too many transport modes, wildly varying digital blueprints | **15-mode one-to-one profiles**: urban roads / highways / rail / urban rail transit / ports / inland waterways / aviation / bus transit / logistics / parking / low-altitude / V2X / hubs / rural roads / safety — each mode ships with a diagnostic card + digital pathway + decision tree |
| 🔗 Hard to select systems; vendors of uneven quality | **12 categories × 140+ vendor landscape**: roadside sensing / V2X comms / cloud platform / signal control / ETC / ATMS / transit MaaS / parking / autonomous driving / digital twin / AI large models / cybersecurity — seven-dimension matrix scoring + PoC validation |
| 💰 Large investment, long cycles, unclear ROI | **Technology investment decision framework (TCO / ROI / phased investment)**: TCO whole-lifecycle cost modeling + multi-dimensional ROI (efficiency / safety / experience / assets / carbon reduction) + "validate → expand → scale" progressive investment strategy |
| 🤖 Many AI opportunities, no clear entry point | **25-scenario AI landscape**: AI signal control / cooperative driving / autonomous driving / transport LLM / smart maintenance / smart port / smart airport / low-altitude economy / carbon monitoring — RICE++ six-dimension scoring + implementation roadmap |
| 📋 No systematic methodology to guide the work | **T-DMM five-dimension transport digital-maturity model**: infrastructure / data intelligence / business application / organization governance / security assurance — assess → diagnose → roadmap → continuous optimization |
| 🏛️ Complex project stakeholder management | **Ten-phase delivery method + full-role stakeholder management**: from opportunity identification to post-project review, covering every role from executives to front-line users |

---

## 🧠 Core Capability Landscape

### Full Mode Coverage (15 Transport Modes)

| Mode | Typical Scenarios | Digital Focus |
|------|-------------------|---------------|
| 🚦 Urban road traffic management | City traffic management / intelligent transport management platform | AI signal control / holographic intersections / ANPR enforcement / transport operations coordination center (TOCC) / signal optimization |
| 🛣️ Highways & arterial roads | Highway authority / state toll operator / road company | Free-flow ETC / smart service areas / cooperative driving / active traffic management / digital twin |
| 🚄 High-speed & conventional rail | National rail operator / regional railway / passenger dedicated line | Intelligent dispatching / PHM predictive maintenance / smart stations / FRMCS (5G-R) / rail LLM |
| 🚇 Urban rail transit | Metro group / light rail / commuter rail | FAO (GoA4) driverless / TACS vehicle-to-vehicle comms / smart stations / passenger profiling |
| 🚢 Ports & ocean shipping | Port authority / terminal operator | Automated terminal TOS / AGV / digital yard / smart gate / green port |
| ⛴️ Inland waterways & digital fairways | Waterway authority / locks / inland port | Digital fairway / smart lock / electronic charts / shore power / cascade dispatching |
| ✈️ Aviation & smart airports | Airport group / airline / ATC | A-CDM collaborative decision-making / seamless end-to-end journey / digital-twin airport / AI gate assignment |
| 🚌 Urban public transit | Transit agency / MaaS platform | Intelligent dispatching / real-time bus / AI network optimization / DRT demand-responsive transit / carbon incentives |
| 🚛 Logistics & freight | Logistics firm / freight network platform | Digital supply chain / freight brokerage platform / multimodal transport / autonomous trucks / control tower |
| 🅿️ Smart parking | Municipal parking / commercial parking | Overhead video / ETC parking / citywide parking platform / shared parking / EV-charging linkage |
| 🪁 Low-altitude economy & UAM | UTM platform / eVTOL / drones | Low-altitude connected network / UTM air traffic management / air-route planning / vertiports / low-altitude brain |
| 🚗 Cooperative driving & autonomous driving | Pilot zone / vehicle–infra–cloud validation | C-V2X / RSU-MEC / holographic sensing / SCMS security / cloud-control platform |
| 🏢 Multimodal hub & intermodal transport | HSR station / airport / intermodal center | Hub brain / passenger-flow forecasting / transfer optimization / mutual security recognition / digital twin |
| 🏘️ Rural roads & urban–rural transport | County transport management / road-chief system | Road-chief app / automated inspection / passenger–freight–parcel integration / on-demand transit |
| 🚨 Traffic safety & emergency management | Emergency management / traffic police / road authority | AI incident detection / emergency command / network resilience / disaster early-warning / active safety |

### Full-Chain Coverage (12 Business Chains × 130 Digital Scenarios)

| Chain | Scenarios | Core Digital Scenarios |
|-------|:---------:|------------------------|
| 📐 Planning & design | 10 | BIM+GIS design / digital-twin simulation / AI traffic forecasting / multi-option comparison |
| 📡 Sensing & data acquisition | 12 | Radar-video fusion / holographic intersection / floating-car GPS / mobile signaling / drone inspection |
| 📶 Communications & network transport | 10 | 5G transport private network / C-V2X / LTE-M / LEO satellite / quantum-secure comms |
| ☁️ Digital foundation & cloud platform | 10 | Transport cloud / data lake / edge MEC / cloud-native / sovereign-tech compatibility |
| 🚥 Traffic control & signaling | 10 | AI signal control / green-wave corridor / transit priority / tidal lanes / area coordination |
| 💳 Tolling & ticketing | 10 | Free-flow ETC / MLFF / single-code mobility / e-ticket / RFID |
| 🧭 Mobility services & MaaS | 10 | Multi-modal trip planning / real-time transit / MaaS platform / carbon credits / accessible mobility |
| 🛡️ Safety supervision & emergency | 12 | Incident detection / emergency command / hazardous-materials oversight / tunnel safety / weather early-warning |
| 🔧 Asset management & maintenance | 10 | AI pavement inspection / bridge SHM / PHM predictive maintenance / drone inspection |
| 📦 Logistics & freight management | 12 | Freight network platform / multimodal transport / cold-chain monitoring / autonomous freight |
| 🏛️ Integrated management & collaborative governance | 12 | Transport operations coordination center (TOCC) / intelligent transport management platform / data sharing / unified city management / performance assessment |
| 🔋 Transport-energy-tourism-finance convergence | 12 | Solar-storage-charging integration / carbon monitoring / transport-tourism convergence / transport infrastructure REITs |

### AI Landscape (25 Scenarios × RICE++ Priority)

| AI Scenario | Business Value | RICE++ Priority |
|-------------|----------------|:---:|
| 🧠 AI traffic signal control | Throughput +15–25%, congestion −20–35% | ⭐⭐⭐⭐⭐ |
| 👁️ AI traffic incident detection | Incident detected <30s, accuracy >95% | ⭐⭐⭐⭐⭐ |
| 📈 AI traffic-flow forecasting | Congestion early-warning 15–60 min ahead | ⭐⭐⭐⭐⭐ |
| 🚗 Cooperative-driving autonomous mobility | Safety + efficiency gains | ⭐⭐⭐⭐⭐ |
| 🏗️ AI pavement-defect detection | Maintenance cost −20–30% | ⭐⭐⭐⭐ |
| 🚌 AI transit-dispatch optimization | Punctuality +15%, cost −10% | ⭐⭐⭐⭐ |
| 🅿️ AI parking-demand forecasting | Space utilization +25% | ⭐⭐⭐⭐ |
| 🌉 AI bridge-health monitoring | Defects found 6–12 months earlier | ⭐⭐⭐⭐ |
| 🪁 AI low-altitude air-route planning | Airspace utilization +40% | ⭐⭐⭐⭐ |
| 🔒 AI traffic-safety early-warning | Crash rate −15–25% | ⭐⭐⭐⭐ |

### Methodology System (15 Methodologies)

| Methodology | Purpose | Reference Source |
|-------------|---------|------------------|
| **T-DMM five-dimension maturity model** | Assess & benchmark transport digital maturity | Synthesizes NIST / Gartner / IDC / industry bodies |
| **RICE++ six-dimension AI scoring card** | Prioritize AI scenarios (adds safety impact + regulatory urgency) | Standard RICE framework + transport adaptation |
| **Seven-dimension vendor-selection matrix** | Technology selection decisions (adds sovereign-tech compliance + critical-infra protection) | Gartner Magic Quadrant + sovereign-tech compliance |
| **Technology investment decision framework** | TCO modeling / multi-dimensional ROI / phased investment | Transport technology investment methodology |
| **Five-level vehicle–infra–cloud maturity model** | Assess cooperative-driving capability (link → intersection → zone → city → megacity cluster) | Vehicle–infra–cloud pilot validation standard |
| **Four-horizontal three-vertical cybersecurity architecture** | Transport cybersecurity protection | NIST CSF 2.0 + EU NIS2 + IEC 62443 |
| **Six-layer data-governance architecture** | Transport data assetization | DAMA DMBOK + GDPR / data-governance acts |
| **ADKAR change management** | Project change management | Prosci ADKAR + transport-project practice |
| **Ten-phase project lifecycle** | Transport digital-project management | PMBOK + infrastructure investment management |
| **12-country ITS strategy benchmark framework** | International best-practice benchmarking | National ITS strategy documents (EU, US, Singapore, Japan, UK, etc.) |

### Global Benchmark Deep-Dive (24 Leading Organizations)

| Organization | Digital Highlight | What to Learn |
|--------------|-------------------|---------------|
| **Siemens Mobility** | World's leading rail signaling | Rail-system reliability |
| **Thales** | Global transport signaling & security | Integrated safety & signaling |
| **Kapsch TrafficCom** | Global ETC / free-flow tolling leader | Highway digitalization & tolling |
| **TomTom / HERE** | Global mapping & location data | HD maps & location intelligence |
| **Port of Rotterdam** | World-leading automated port | Terminal automation |
| **Singapore LTA** | ERP 2.0 — global city-ITS benchmark | Urban traffic governance |
| **Waymo** | World's leading L4 robotaxi | Autonomous-driving commercialization |
| **Tesla** | Fully in-house FSD stack | End-to-end AI driving |
| **London TfL** | Congestion charging + open-data API | Travel-demand management |
| **NYC DOT** | Vision Zero + smart urban signals | City-scale safety & operations |
| **Cubic** | Global fare collection & UTM | Ticketing interoperability & airspace |
| **WSP / AECOM** | Global transport digital consulting | Digital advisory & delivery |

---

## 📦 Quick Start

```bash
# For Claude (Anthropic) — copy into the skills directory
cp -r transportation-digital-ai-expert-standard-international ~/.claude/skills/

# For Codex (OpenAI)
cp -r transportation-digital-ai-expert-standard-international ~/.codex/skills/

# For Cursor
cp -r transportation-digital-ai-expert-standard-international ~/.cursor/skills/

# For WorkBuddy — copy into the WorkBuddy skills directory,
# or import via the Skills Marketplace inside the app

# For Coze — upload the skill folder to the Coze Skill Store

# Or simply place it on your desktop and reference it from any agent
```

**How to trigger it** — describe your transport digitalization need in plain language, and it will automatically match the mode, chain, and methodology:

```
"Our city has 300 intersections and wants to deploy AI signal control — how should we plan it?"
"Run a digital-maturity assessment for our highway authority."
"Where do we start with port automation, and what's the investment?"
"How do we build digital infrastructure for the low-altitude economy?"
"Calculate the ROI of free-flow ETC tolling for us."
"How do we apply for a vehicle–infrastructure–cloud pilot city?"
"Write us a smart-mobility construction proposal."
```

---

## 🤖 Supported Agents

This skill is agent-agnostic and works with six mainstream AI agents. Copy or import the folder into the skill directory of your agent of choice:

| Agent | Install Location / Method | Notes |
|-------|---------------------------|-------|
| **Claude** (Anthropic) | `~/.claude/skills/` | Copy the folder, or reference it from Claude Code |
| **Codex** (OpenAI) | `~/.codex/skills/` | Copy the folder into the Codex skills directory |
| **WorkBuddy** | WorkBuddy skills directory | Copy into the skills folder, or install via the in-app Skills Marketplace |
| **Copilot X** | GitHub Copilot Chat | Reference the skill from Copilot X / GitHub Copilot Chat |
| **Cursor** | `~/.cursor/skills/` | Copy the folder into the Cursor skills directory |
| **Coze** | Coze Skill Store | Upload the folder as a Coze skill |

Any of these agents can load the skill and immediately act as a world-class smart-mobility digital & AI expert.

---

## 📁 Ecosystem File Structure

```
transportation-digital-ai-expert-standard-international/
├── SKILL.md                         # 🔥 Core expert system (4,936 lines / 446 KB)
├── README.md                        # 📖 This file
│
├── references/                      # 📚 In-depth references (8)
│   ├── 01-global-smart-mobility-best-practices.md
│   ├── 02-benchmark-data-and-industry-metrics.md
│   ├── 03-transport-ai-applications-framework.md
│   ├── 04-transport-tech-vendor-landscape.md
│   ├── 05-core-methodology-library.md
│   ├── 06-faq.md
│   ├── 07-transport-cybersecurity-and-critical-infra.md
│   └── 08-vehicle-infra-cloud-whitepaper.md
│
├── tools/                           # 🛠️ Practical tools (12)
│   ├── 01-transportation-digital-maturity-assessment-tool.md
│   ├── 02-transport-tech-selection-decision-matrix.md
│   ├── 03-ai-scenario-priority-scorecard.md
│   ├── 04-digital-roi-quick-calculator.md
│   ├── 05-full-chain-130-scenario-benchmark-checklist.md
│   ├── 06-transport-project-risk-register.md
│   ├── 07-project-stakeholder-analysis-tool.md
│   ├── 08-transport-data-quality-assessment-tool.md
│   ├── 09-transport-carbon-monitoring-tool.md
│   ├── 10-tech-solution-maturity-assessment-tool.md
│   ├── 11-transport-llm-scenario-fit-assessment-tool.md
│   └── 12-ual-low-altitude-economy-readiness-tool.md
│
├── templates/                       # 📝 Professional templates (25)
│   ├── 01-digital-maturity-assessment-report.md
│   ├── 02-digital-transformation-roadmap.md
│   ├── 03-tech-selection-vendor-eval.md
│   ├── 04-roi-business-case.md
│   ├── 08-its-platform-construction-proposal.md
│   ├── 09-v2x-tech-solution.md
│   ├── 10-smart-highway-construction.md
│   ├── 11-smart-port-construction.md
│   ├── 12-low-altitude-economy-plan.md
│   ├── 14-smart-rail-construction.md
│   ├── 15-smart-airport-construction.md
│   ├── 16-tocc-construction.md
│   └── ... (25 complete templates in total)
│
├── examples/                        # 📖 Case studies (10)
│   ├── case-01-city-its-platform-from-scratch.md
│   ├── case-02-metro-highway-smart-upgrade.md
│   ├── case-03-port-automation-journey.md
│   ├── case-04-urban-rail-fao-upgrade.md
│   ├── case-05-vic-vehicle-infra-cloud-zone.md
│   └── ... (10 complete case studies in total)
│
├── playbooks/                       # 📋 Ready-to-use playbooks (8)
│   ├── 01-transport-digital-maturity-playbook.md
│   ├── 02-ai-scenario-prioritization-playbook.md
│   ├── 03-tech-selection-and-poc-playbook.md
│   ├── 04-tech-architecture-design-playbook.md
│   └── ... (8 complete playbooks in total)
│
├── data/                            # 🗄️ Structured databases (6)
│   ├── 01-transport-digital-kpi-library.md
│   ├── 02-transport-standards-regulations-index.md
│   ├── 03-transport-tech-vendor-database.md
│   ├── 04-transport-industry-conferences-calendar.md
│   ├── 05-transport-academic-journals.md
│   └── 06-transport-terminology-glossary.md
│
└── workflows/                       # 🔄 Complete workflows (10 phases, 34 files)
    ├── phase-01-needs-identification-and-tech-scouting/
    ├── phase-02-current-state-diagnosis-and-maturity/
    ├── phase-03-strategy-and-top-level-design/
    ├── phase-04-tech-selection-and-vendor-eval/
    ├── phase-05-financing-and-investment-review/
    └── ... (full 10-phase coverage)
```

---

## 🏆 Key Highlights

- **Most complete transport-mode coverage in the world**: 15 modes — urban roads / highways / rail / urban rail transit / ports / waterways / aviation / bus / logistics / parking / low-altitude / V2X / hubs / rural roads / safety & emergency — each with its own diagnostic card and digital pathway
- **Zero-experience ready**: even a beginner can complete complex transport digital & AI tasks — built-in diagnostic cards, decision trees, checklists, and communication scripts
- **Deeply tailored**: a ten-phase lifecycle, full-role stakeholder management, and ADKAR change management designed specifically for transport projects
- **Methodology-driven**: T-DMM × RICE++ × seven-dimension selection × TCO/ROI × five-level vehicle–infra–cloud maturity × four-horizontal three-vertical security architecture × six-layer data governance × ten architecture patterns — every recommendation is traceable
- **Full vendor landscape**: 12 categories × 140+ vendors with deep side-by-side comparison, including a seven-dimension scoring matrix and PoC validation guide
- **Global outlook + deep expertise**: 12-country ITS strategy benchmark × 24 leading organizations × international transport strategy (EU ITS Directive, US ITS JPO, ISO 14813, NTCIP) / sovereign-tech compliance / critical-infrastructure protection
- **Security & compliance depth**: NIST CSF 2.0 + Transit Cybersecurity Framework + EU NIS2 Directive + ISO 21434 + GDPR + IEC 62443
- **Technology investment decision framework**: TCO whole-lifecycle modeling / multi-dimensional ROI (efficiency / safety / experience / assets / carbon reduction) / "validate → expand → scale" phased investment strategy
- **Complete deliverables**: 25 professional templates, 10 complete case studies, 8 ready-to-use playbooks — use them right away
- **Authoritative data**: 590+ KPI library, 240+ standards index, 500+ glossary terms, 140+ vendor database — cross-validated across multiple rounds

---

## 🔗 Related Skills

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|-------|-------------|-------------|
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### International Edition (English Ecosystem)

| Skill | Focus | Description |
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| [retail-digital-ai-expert-international](https://github.com/yinjianheng/retail-digital-ai-expert-international) | Retail Digital & AI Expert | 12 formats · 60 scenarios |
| [restaurant-digital-ai-expert-international](https://github.com/yinjianheng/restaurant-digital-ai-expert-international) | Restaurant Digital & AI Expert | 12 formats · 56 scenarios |

---

## 👤 Who It's For

| Role | Use Case |
|------|----------|
| 🏛️ **Transport authority / highway-operator digitalization lead** | Decision support: should we invest? what? with whom? what ROI? |
| 🏢 **Smart-mobility CEO / CTO / product manager** | Product positioning, competitive analysis, customer-pain insight, solution packaging |
| 📐 **Transport planning & design institute engineer** | Digital-solution design, technology-route selection, standards basis |
| 📊 **Transport consultant / solutions architect** | Client diagnosis, solution design, business case, delivery support |
| 🛒 **Transport-tech vendor / system integrator** | Market analysis, competitive analysis, technical proposals, selection guidance |
| 🎓 **Transport-digitalization learner / practitioner** | Systematic mastery of the full transport digital & AI knowledge system |

---

## 📄 License

**Friendly note**: This Skill is a personal open-source work, intended for personal study, research, and non-commercial use only. Commercial use requires the author's written permission.

---

<p align="center">
  <b>👨‍💻 yinjianheng (Jianheng Yin)</b> &nbsp;|&nbsp;
  📧 yinjianheng@foxmail.com &nbsp;|&nbsp;
  💬 WeChat: YJH-yinjianheng
</p>
<p align="center">
  <sub>⭐ If this Skill helped you, please give it a Star so more people can find it! Every delivered proposal is an extension of trust.</sub>
</p>
<p align="center">
  <sub>No matter how congested the road, the mind stays clear. Let technology ease the journey, safeguard safety, and cool the planet.</sub>
</p>
