Travel-time prediction methods: a review
M Bai, Y Lin, M Ma, P Wang - … 2018, Tokyo, Japan, December 10–12, 2018 …, 2018 - Springer
Near-future Travel-time information is helpful to implement Intelligent Transportation
Systems (ITS). Travel-time prediction refers to predicting future travel-time. Researchers …
Systems (ITS). Travel-time prediction refers to predicting future travel-time. Researchers …
Grenoble traffic lab: An experimental platform for advanced traffic monitoring and forecasting [applications of control]
The start from the Ocean House was something marvelous to see. The drivers stormed and
scolded, the women shrieked and cried, wheels locked at intervals of perhaps ten minutes …
scolded, the women shrieked and cried, wheels locked at intervals of perhaps ten minutes …
A real time forecasting tool for dynamic travel time from clustered time series
This paper addresses the problem of dynamic travel time (DTT) forecasting within highway
traffic networks using speed measurements. Definitions, computational details and …
traffic networks using speed measurements. Definitions, computational details and …
Travel time forecasting from clustered time series via optimal fusion strategy
This paper addresses the problem of travel time forecasting within a highway. Several
measurements are captured describing travel times for multiple origin-destination (OD) …
measurements are captured describing travel times for multiple origin-destination (OD) …
[图书][B] Asynchronous control for networked systems
MG Losada, FR Rubio, SD Bencomo - 2015 - Springer
The term 'networked control system'(NCS) encompasses a relatively large number of
situations and problems. The feature that distinguishes a NCS from a classical control …
situations and problems. The feature that distinguishes a NCS from a classical control …
[PDF][PDF] 行程时间预测方法研究
柏梦婷， 林杨欣， 马萌， 王平 - 软件学报, 2020 - jos.org.cn
行程时间预测, 有助于实施高级旅行者信息系统. 自20 世纪90 年代起, 已经有多种行程时间预测
方法被研发出来. 将行程时间预测方法分为模型驱动方法和数据驱动方法两大类 …
方法被研发出来. 将行程时间预测方法分为模型驱动方法和数据驱动方法两大类 …
A model predictive control scheme for freeway traffic systems based on the classification and regression trees methodology
Traffic control algorithms based on optimization may not always be applicable on-line, since
they are computationally demanding and may not always comply with the typical sampling …
they are computationally demanding and may not always comply with the typical sampling …
Survey of traffic travel-time prediction methods
柏梦婷， 林杨欣， 马萌， 王平 - Journal of Software, 2020 - jos.org.cn
行程时间预测, 有助于实施高级旅行者信息系统. 自 20 世纪 90 年代起, 已经有多种行程时间
预测方法被研发出来. 将行程时间预测方法分为模型驱动方法和数据驱动方法两大类 …
预测方法被研发出来. 将行程时间预测方法分为模型驱动方法和数据驱动方法两大类 …
Traffic congestion prediction based on long-short term memory neural network models
Predicting urban network congestion and exploring congestion mechanisms are vital for
both transportation researchers and practitioners. The state-of-the-art studies rely on either …
both transportation researchers and practitioners. The state-of-the-art studies rely on either …
Traffic state estimation and prediction in freeways and urban networks
AL Lopez - 2018 - theses.hal.science
Centralization of work, population and economic growth alongside continued urbanization
are the main causes of congestion. As cities strive to update or expand aging infrastructure …
are the main causes of congestion. As cities strive to update or expand aging infrastructure …