## Description: <br>
This skill is a transportation digitalization and AI reference system for technical professionals, covering multimodal planning, AI use-case prioritization, vendor evaluation, architecture design, ROI analysis, and project delivery guidance. <br>

This skill is for research and development only. <br>

## Publisher: <br>
[yinjianheng](https://clawhub.ai/user/yinjianheng) <br>

### License/Terms of Use: <br>
MIT-0 <br>


## Use Case: <br>
Transportation technology professionals, consultants, planners, and delivery teams use this skill to draft and review transportation digitalization strategies, maturity assessments, AI opportunity rankings, technical architectures, vendor comparisons, ROI analyses, and implementation plans. <br>

### Deployment Geography for Use: <br>
Global <br>

## Known Risks and Mitigations: <br>
Risk: The skill contains high-risk planning content for transportation infrastructure, finance, biometric surveillance, mobility tracking, and public-sector systems. <br>
Mitigation: Treat outputs as draft planning material and require qualified legal, privacy, safety, accounting, and security review before using them in real projects. <br>
Risk: Transportation recommendations can affect safety-critical public infrastructure decisions. <br>
Mitigation: Validate any proposed system design through domain expert review, simulation, pilot testing, and formal safety assessment before implementation. <br>
Risk: Reference data, vendor information, standards, costs, and regulatory assumptions may become stale or context-specific. <br>
Mitigation: Verify current laws, standards, procurement requirements, vendor claims, benchmarks, and project economics against authoritative sources for the target jurisdiction. <br>


## Reference(s): <br>
- [ClawHub skill page](https://clawhub.ai/yinjianheng/skills/transportation-digital-ai-expert-standard) <br>
- [全球智慧交通最佳实践深度拆解](artifact/references/01-全球智慧交通最佳实践深度拆解.md) <br>
- [基准数据与行业指标](artifact/references/02-基准数据与行业指标.md) <br>
- [交通AI应用深度框架](artifact/references/03-交通AI应用深度框架.md) <br>
- [交通科技供应商全景图](artifact/references/04-交通科技供应商全景图.md) <br>
- [核心方法论库](artifact/references/05-核心方法论库.md) <br>
- [常见问题FAQ](artifact/references/06-常见问题FAQ.md) <br>
- [交通网络安全与关基保护深度框架](artifact/references/07-交通网络安全与关基保护深度框架.md) <br>
- [车路云一体化深度技术白皮书](artifact/references/08-车路云一体化深度技术白皮书.md) <br>


## Skill Output: <br>
**Output Type(s):** [Text, Markdown, Guidance, Analysis, Configuration] <br>
**Output Format:** [Markdown prose, checklists, tables, templates, and planning recommendations] <br>
**Output Parameters:** [1D] <br>
**Other Properties Related to Output:** [Produces draft transportation planning and assessment material that should be reviewed before real-world use.] <br>

## Skill Version(s): <br>
1.0.0 (source: server release metadata) <br>

## Ethical Considerations: <br>
Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>
