综合交通大数据应用技术的发展展望

刘晓波; 蒋阳升; 唐优华; 张仪彬; 王子兰; 罗洁

doi:10.11959/j.issn.2096-0271.2019024

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综合交通大数据应用技术的发展展望

研究 | 更新时间：2024-06-03

- 综合交通大数据应用技术的发展展望
- Development prospect of integrated transportation big data application technology
- 大数据 2019年5卷第3期页码：2019024-1
- 作者机构：
  
  1. 西南交通大学交通运输与物流学院，四川成都 611756
  2. 综合交通大数据应用技术国家工程实验室，四川成都 611756
- 作者简介：
  
  [ "刘晓波（1974-），男，博士，西南交通大学交通运输与物流学院教授、院长，博士生导师，综合交通大数据应用技术国家工程实验室主任。2003年被授予George Krambles交通基金奖，2006年获得美国新泽西工程企业理事会颁发的杰出工程奖，2018年获得美国国家科学委员会交通分会网络建模最佳论文奖，主要研究方向为交通大数据在无人驾驶路径规划、智慧物流资源配置优化的应用和车联网环境下的交通流控制技术。" ]
  [ "蒋阳升（1976-），男，博士，西南交通大学交通运输与物流学院教授、副院长，博士生导师，综合交通大数据应用技术国家工程实验室副主任，中国交通运输协会青年科技工作者委员会副秘书长，主要研究方向为交通大数据应用、交通系统优化与规划设计、智能公共交通系统、智能交通控制等。" ]
  [ "唐优华（1977-），男，西南交通大学交通运输与物流学院高级工程师、副院长，硕士生导师，综合交通大数据应用技术国家工程实验室副主任，主要研究方向为大数据在智能交通和物流规划方面的应用、交通信息安全。" ]
  [ "张仪彬（1986-），男，西南交通大学交通运输与物流学院实验师，主要研究方向为大数据在智能交通和物流规划方面的应用、交通信息安全。" ]
  [ "王子兰（1984-），女，西南交通大学交通运输与物流学院实验师，交通运输规划与管理专业博士生，主要研究方向为大数据在铁路运营组织和物流规划设计方面的应用、交通系统优化与规划设计。" ]
  [ "罗洁（1978-），女，西南交通大学交通运输与物流学院助理研究员，综合交通大数据应用技术国家工程实验室综合部部长，长期从事教学管理、实验室管理工作。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(71671147)
- DOI：10.11959/j.issn.2096-0271.2019024
  中图分类号： U1，TP399
- 网络首发：2019-05，
  
  纸质出版：2019-05-15
- 稿件说明：
移动端阅览
刘晓波, 蒋阳升, 唐优华, 等. 综合交通大数据应用技术的发展展望[J]. 大数据, 2019,5(3):2019024-1.

Xiaobo LIU, Yangsheng JIANG, Youhua TANG, et al. Development prospect of integrated transportation big data application technology[J]. Big Data Research, 2019, 5(3): 2019024-1.
刘晓波, 蒋阳升, 唐优华, 等. 综合交通大数据应用技术的发展展望[J]. 大数据, 2019,5(3):2019024-1. DOI： 10.11959/j.issn.2096-0271.2019024.

Xiaobo LIU, Yangsheng JIANG, Youhua TANG, et al. Development prospect of integrated transportation big data application technology[J]. Big Data Research, 2019, 5(3): 2019024-1. DOI： 10.11959/j.issn.2096-0271.2019024.

摘要

在移动互联的大数据时代，大数据、人工智能、云计算、物联网、智能终端等先进技术的不断发展，为综合交通的一体化、智能化、智慧化发展提供了坚实的资源和技术支撑。针对现阶段综合交通规划设计、运营管控、安全环保维护、物流服务过程中出现的数据异构质量差、“信息孤岛”、挖掘程度低等症结，对综合交通大数据基础技术与应用技术发展过程中需突破的关键技术点进行分析与展望，为大数据在综合交通中全面、有效、系统地应用提供一定的借鉴与参考。

Abstract

The continuous development of advanced technologies such as big data

artificial intelligence

cloud computing

Internet of things and intelligent terminals provide useful big data resources and technical support for the integrated

intelligent and wise development of integrated transportation.Aiming at the cruxes of integrated traffic planning and design

operation management and control

safety and environmental protection maintenance

and logistics service

such as poor quality of heterogeneous data

isolated information island

low degree of mining

etc.

the key technical points needed to be broken through in the development of basic technology and application technology of big data for integrated transportation were prospected

and some references for a better and more systematic application of big data in integrated transportation were provided.

关键词

Keywords

references

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