A new car-following model is proposed by considering information from a number of preceding vehicles with intervehicle communication. A supernetwork architecture is first described, which has two layers： a traffic ne...A new car-following model is proposed by considering information from a number of preceding vehicles with intervehicle communication. A supernetwork architecture is first described, which has two layers： a traffic network and a communication network. The two networks interact with and depend on each other. The error dynamic system around the steady state of the model is theoretically analyzed and some nonjam criteria are derived. A simple control signal is added to the model to analyze the criteria of suppressing traffic jams. The corresponding numerical simulations confirm the correctness of the theoretical analysis. Compared with previous studies concerning coupled map models, the controlled model proposed in this paper is more reasonable and also more effective in the sense that it takes into account the formation of traffic congestion.展开更多
区域一体化快速发展背景下,如何系统谋划区域综合交通运输规划,使经济、土地/空间及交通与环境协调发展,是实现区域可持续发展亟需深入研究的课题。因此,本文统筹考虑经济、土地/空间及交通和环境要素的动态交互关系,提出大区域综合货...区域一体化快速发展背景下,如何系统谋划区域综合交通运输规划,使经济、土地/空间及交通与环境协调发展,是实现区域可持续发展亟需深入研究的课题。因此,本文统筹考虑经济、土地/空间及交通和环境要素的动态交互关系,提出大区域综合货运整体规划模型的设计与开发方法。利用PECAS(Production,Exchange and Consumption Allocation System)理论框架分析生产者、消费者、交换商品、土地(空间)和运输方式之间的交互关系,并通过PECAS的集计经济流表设计模型结构,构建相应的宏观经济预测、社会经济活动空间分配、空间开发以及交通运输需求预测这4个模块,模拟区域社会经济活动增长及其空间分布与土地/空间开发及综合交通需求时变等特征之间的互动耦合关系。在社会经济发展目标、土地空间和环境等约束条件下,通过构建空间经济模型和综合交通一体化网络分配模型,实现面向多货品和多方式的综合货运整体规划建模方法,以辅助区域产业布局、土地利用与综合交通系统的整体规划。本文以长江经济带为研究案例,基于相关数据构建相应的大区域综合货运整体规划模型,分析评估2012—2035年模型预测结果。结果显示,预测得到的综合交通年平均日货运量拟合优度超过85%,分担率误差低于1%,验证了本文建模方法的有效性。展开更多
Supernetworks have long been adopted to address multi-dimensional choice problems, which are thorny to solve for classic singular networks. Originated from combining transport mode and route choice into a multi-modal ...Supernetworks have long been adopted to address multi-dimensional choice problems, which are thorny to solve for classic singular networks. Originated from combining transport mode and route choice into a multi-modal network, supernetworks have been extended into multi-state networks to include activity-travel scheduling, centered around activity-based models of travel demand. A key feature of the network extensions is that multiple choice facets pertaining to conducting a full activity program can be modeled in a consistent and integrative fashion. Thus, interdependencies and constraints between related choice facets can be readily captured. Given this advantage of integrity, the modeling of supernetwork has become an emerging topic in transportation research. This paper summarizes the recent progress in modeling multi-state supernetworks and discusses future prospects.展开更多
基金supported by the National Natural Science Foundation of China (Grant Nos. 61174158,61034004,91024023,and 61272271)the Special Fund from the China Postdoctoral Science Foundation (Grant No. 201104286)+3 种基金the China Postdoctoral Science Foundation (Grant No. 2012M510117)the Natural Science Foundation Program of Shanghai (Grant No. 12ZR1434000)the Fundamental Research Funds for the Central Universitiesthe Hong Kong Research Grants Council (Grant No. GRF Grant CityU1109/12)
文摘A new car-following model is proposed by considering information from a number of preceding vehicles with intervehicle communication. A supernetwork architecture is first described, which has two layers： a traffic network and a communication network. The two networks interact with and depend on each other. The error dynamic system around the steady state of the model is theoretically analyzed and some nonjam criteria are derived. A simple control signal is added to the model to analyze the criteria of suppressing traffic jams. The corresponding numerical simulations confirm the correctness of the theoretical analysis. Compared with previous studies concerning coupled map models, the controlled model proposed in this paper is more reasonable and also more effective in the sense that it takes into account the formation of traffic congestion.
文摘区域一体化快速发展背景下,如何系统谋划区域综合交通运输规划,使经济、土地/空间及交通与环境协调发展,是实现区域可持续发展亟需深入研究的课题。因此,本文统筹考虑经济、土地/空间及交通和环境要素的动态交互关系,提出大区域综合货运整体规划模型的设计与开发方法。利用PECAS(Production,Exchange and Consumption Allocation System)理论框架分析生产者、消费者、交换商品、土地(空间)和运输方式之间的交互关系,并通过PECAS的集计经济流表设计模型结构,构建相应的宏观经济预测、社会经济活动空间分配、空间开发以及交通运输需求预测这4个模块,模拟区域社会经济活动增长及其空间分布与土地/空间开发及综合交通需求时变等特征之间的互动耦合关系。在社会经济发展目标、土地空间和环境等约束条件下,通过构建空间经济模型和综合交通一体化网络分配模型,实现面向多货品和多方式的综合货运整体规划建模方法,以辅助区域产业布局、土地利用与综合交通系统的整体规划。本文以长江经济带为研究案例,基于相关数据构建相应的大区域综合货运整体规划模型,分析评估2012—2035年模型预测结果。结果显示,预测得到的综合交通年平均日货运量拟合优度超过85%,分担率误差低于1%,验证了本文建模方法的有效性。
文摘Supernetworks have long been adopted to address multi-dimensional choice problems, which are thorny to solve for classic singular networks. Originated from combining transport mode and route choice into a multi-modal network, supernetworks have been extended into multi-state networks to include activity-travel scheduling, centered around activity-based models of travel demand. A key feature of the network extensions is that multiple choice facets pertaining to conducting a full activity program can be modeled in a consistent and integrative fashion. Thus, interdependencies and constraints between related choice facets can be readily captured. Given this advantage of integrity, the modeling of supernetwork has become an emerging topic in transportation research. This paper summarizes the recent progress in modeling multi-state supernetworks and discusses future prospects.
