# AI 公交车道违规检测准确性与申诉机制

- 日期: 2026-10-06
- 收录: 2026-10-21
- 相关方: Mr Low Wu Yang Andre · Mr Jeffrey Siow
- 来源: https://sprs.parl.gov.sg/search/#/sprs3topic?reportid=written-answer-25086
- sgai: https://sgai.md/zh/debates/written-answer-25086/
- 许可：sgai 自产内容（摘要、译文、分析）CC BY 4.0，署名并链接 sgai.md 即可；逐字原文（国会记录、演讲、字幕、政策原文）© 原权利人，仅供引用。条款：https://github.com/meltflake/sgai/blob/main/DATA-LICENSE.md

## 为什么重要

LTA 试验中 AI 正确识别 415 宗公交车道违规、误报 257 宗；执法前仍逐宗人工复核，申诉由人工审理

## 摘要

刘宇扬议员向交通部提问，询问 LTA 计划采用的公交车道 AI 识别系统的 90% 试验准确率如何计算、是否每起 AI 检测的违例都经官员复核、以及车主如何申诉误判。萧振祥答复说明，该系统在三个月内分析超过 800 小时车载录像，共识别 450 多起违规，正确检测 415 起（约 90%），另有 257 起为误判；目前所有 AI 检测结果仍需人工复核后才会执法，车主可像其他交通违例一样提出申诉，并由人工官员审核。

## 要点

- 公交车道 AI 系统在三个月内分析了超过 800 小时的车载摄像头录像。
- 系统共捕捉 450 多起车道侵占案例，正确识别 415 起，准确率约为 90%。
- 系统另外产生 257 起误判（假阳性）案例。
- LTA 将继续与供应商合作优化系统，以减少误判并逐步减少人工监督需求。
- 目前 AI 检测的公交车道违规仍须经人工复核后才会执法，车主的申诉也将继续由人工官员评估。

## 全文

66 刘宇扬先生询问运输部长有关陆路交通管理局（LTA）计划利用公共巴士摄像头检测公交车道违规行为的人工智能（AI）系统的事项，具体包括：(a) 其所报的90%试验准确率是如何计算的，包括样本规模及按预期用途划分的假阳性率和假阴性率；(b) 每项AI检测到的交通违规是否都将在采取执法行动前由获授权官员进行人工复审；(c) 驾驶人士如何对错误检测提出异议。

萧振祥先生：人工智能（AI）系统在多种用途上进行了试验，包括检测道路缺陷、道路施工和公交车道违规行为。针对公交车道，该系统在三个月内分析了800多小时的公共巴士摄像头录像，共记录了450多起违规行为。AI系统正确检测到415起，约占所有违规行为的90%。系统还检测到257起事件，但后来被证实为假阳性。

陆路交通管理局（LTA）将继续与供应商合作完善这些工具，包括减少假阳性的数量。今后，我们将减少对人工监督的需求。同时，AI系统检测到的公交车道违规行为在采取执法行动前仍将进行人工审核。驾驶人士可以对罚单提出异议或上诉，方式与任何其他交通违规行为相同。这些异议和上诉将继续由官员评估。

随着技术的成熟和准确率的提高，陆路交通管理局（LTA）将在更多公共巴士服务中扩大公共巴士摄像头和AI的应用，以保护公交车道、维持巴士速度和可靠性。

## Hansard (original, English)

© Parliament of Singapore — reproduced for reference only.

66 Mr Low Wu Yang Andre asked the Minister for Transport regarding LTA's planned AI system using bus cameras to detect bus lane encroachments (a) how its reported 90% trial accuracy is calculated, including sample size and false-positive and false-negative rates by intended use; (b) whether every AI-detected traffic offence will be reviewed by an authorised officer before enforcement; and (c) how motorists can challenge an erroneous detection.

Mr Jeffrey Siow : The artificial intelligence (AI) systems were trialled across a variety of use-cases, including to detect road defects, road works and bus lane encroachments. For bus lanes, the systems analysed over 800 hours of bus camera footage over three months, which captured more than 450 encroachments in total. The AI systems correctly detected 415 cases, or about 90% of encroachments. They also detected 257 cases which turned out to be false positives.

The Land Transport Authority (LTA) will continue to work with the vendor to refine these tools, including to reduce the number of false positives. In time, we will reduce the need for human oversight. Meanwhile, bus lane violations detected by the AI system will still be manually reviewed before enforcement action is taken. Motorists can contest or appeal a notice, similar to any other traffic offence today. These contests and appeals will continue to be assessed by human officers.

As the technology matures and accuracy improves, LTA will expand the use of bus cameras and AI across more public bus services to safeguard bus lanes and maintain bus speeds and reliability.