基于大数据和人工智能的连接,合作和自动化移动服务:SHOW项目范式
Georgios Spanos1, Alexandros Siomos2, Carolin Schmidt3
1Information Technologies Institute, Centre for Research and Technology-Hellas, Thessaloniki, Makedonia Thraki, 57001, Greece.
Open research Europe
|December 30, 2025
概括
合作,互联和自动化移动 (CCAM) 服务利用人工智能 (AI) 和大数据 (BD) 来增强可持续的运输. 这些由人工智能驱动的解决方案可以改善到达时间估计,预测乘客需求,并确定更智能的城市交通流动模式.
科学领域:
- 运输科学 运输科学
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
背景情况:
- 可持续的交通对于脱碳至关重要.
- 人工智能 (AI) 和大数据 (BD) 提供跨行业的变革性解决方案.
- 将AI和BD与合作,连接和自动化移动 (CCAM) 整合起来,可以显著提高它的好处.
研究的目的:
- 引入三种由AI和BD支持的新型CCAM服务.
- 为应对城市移动的关键挑战:预计到达时间,乘客需求预测和移动模式识别.
- 在现实场景中展示这些服务的实际应用和潜力.
主要方法:
- 开发使用AI和BD方法的三个CCAM服务.
- 在欧盟资助的SHOW项目中,在试点网站上实施和测试这些服务.
- 分析解决特定移动问题的服务绩效.
主要成果:
- 成功展示了AI和BD驱动的CCAM服务,解决了关键的移动性挑战.
- 验证了拟议服务在改善预估到达时间预测方面的有效性.
- 展示了准确预测乘客需求和识别复杂的移动模式的能力.
结论:
- 整合AI和BD显著提高了CCAM在可持续城市流动方面的潜力.
- 开发的CCAM服务为提高运输效率和用户体验提供了实用和有效的解决方案.
- 这些发现强调了AI和BD在智能交通系统未来的变革性作用.
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