摘要
高度城市化地区的高速公路交通需求量大,各类交通出行混杂,经常性饱和拥堵严重,如何在改善交通的同时,使得高速公路与两侧高度城市化建成区协调发展,成为亟需研究的问题。本文选取典型的高度城市化地区高速公路机荷—惠盐高速作为研究对象,利用广东省高速公路收费数据和深圳市车牌识别两套数据进行大数据挖掘,识别高度城市化地区高速公路的交通特征,建立广东省域和深圳市域两套预测模型,对高度城市化地区高速公路进行需求预测,结合交通特征和用地特性,提出高度城市化地区高速公路改扩建策略,采用双层立体化的改扩建模式和差异化的节点衔接布局,开展智慧高速安全运营研究,探索多专业融合的高速公路立体改扩建方向,为同类地区高速公路改扩建提供参考和借鉴。
Expressway traffic demand in highly urbanized areas is large, various types of traffic travel are mixed, frequent saturated congestion is serious. It has become an urgent issue to be studied that how to improve traffic and make expressway and highly urbanized built areas on both sides coordinated development at the same time. This paper chooses Jihe-Huiyan expressway in typical highly urbanized area as the research object, uses the toll data of Guangdong province expressway and the license plate recognition data of Shenzhen city to carry out large data mining, studies the traffic characteristics of expressway in highly urbanized area, establishes two sets of prediction models in Guangdong province and Shenzhen city, and carries out the prediction of demand for expressway in highly urbanized area. Combining with the traffic characteristics and land use characteristics, the paper puts forward the strategy of expressway reconstruction and expansion in highly urbanized areas, adopts the two-tier three-dimensional reconstruction and expansion model and the differentiated node connection layout, carries out the research on intelligent expressway safe operation, explores the direction of multi-professional integration of three-dimensional reconstruction and expansion of expressway, and provides reference for similar areas of expressway reconstruction and expansion.
作者
郭宏亮
杨宇星
刘樟伟
GUO Hongliang;YANG Yuxing;LIU Zhangwei(Shenzhen Urban Transport Planning Center Co., Ltd, Shenzhen 518000, China)
出处
《交通与运输》
2019年第A01期108-114,共7页
Traffic & Transportation
关键词
高度城市化地区
高速公路立体改扩建
大数据挖掘
智慧高速
多专业融合
Highly urbanized area
Three-dimensional reconstruction and extension of expressway
Big data mining
Intelligent expressway
Multi-professional integration
