系统管理学报

系统管理学报 ›› 2020, Vol. 29 ›› Issue (2): 346-353.DOI: 10.3969/j.issn.1005-2542.2020.02.016

• 技术与创新管理 • 上一篇    下一篇

基于活动-出行超网络的交通流分配模型研究综述

李青   

  1. 南京信息工程大学 管理工程学院，南京 210044
  • 出版日期:2020-03-29 发布日期:2020-07-07
  • 作者简介:李 青（1988-），女，博士，讲师。研究方向为交通系统的建模与优化。
  • 基金资助:
    南京信息工程大学人才启动项目（2243141701047）

A Literature Review of Traffic Assignment Models Based on Activity-Travel Super-Network

LI Qing   

  1. School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • Online:2020-03-29 Published:2020-07-07

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摘要：

传统基于出行的交通流分配模型未考虑个体的出行需求源于参与活动的需要这一内在驱动力，忽视了出行与出行之间的连贯性。基于活动的交通流分配模型能够弥补传统交通流分配模型的缺点，综合考虑活动时间窗、活动地点、活动性质等活动属性对道路交通流时空分布的影响，从而更准确地为城市道路规划、城市规划提供理论指导。围绕现有文献，首先介绍描述出行者活动-出行行为过程的超网络结构模型；然后，评述基于活动-出行超网络的交通流分配模型研究；最后，分别从决策主体、决策内容与决策情境视角探讨未来的研究内容。

关键词: 活动-出行行为, 超网络, 交通流分配模型

Abstract:

Traditional trip-based traffic assignment models have ignored the essence that travel stems from the participation in activities and the interplay among trips, which can be captured by activity-based traffic assignment models. With the comprehensive consideration of activity attributes including time window, location, property and etc., activity-based traffic assignment models can precisely provide a theoretical guidance for urban transport planning and urban planning. Based on the existing literature,  this paper introduces the super-networks that demonstrates travelers’ activity-travel choice pattern. Then, it analyzes traffic assignment models based on various activity-travel super-networks. Finally, it discusses researches to be conducted in the future based on the current models from the perspectives of decision subjective, decision content, and decision context.

Key words: avtivity-travel behavior, super-network, traffic assignment model

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