Accurate and timely traffic information is a vital element in intelligent transportation systems
and urban management, which is vitally important for road users and government agencies …

(57) ABSTRACT A method for point-to-point traffic prediction comprises: obtaining, from a
plurality of computing devices, time-series locations of a plurality of vehicles respectively …

Short-term traffic flow forecasting is a difficult yet important problem in intelligent
transportation systems. Complex spatiotemporal interactions between the target road …

Short-term traffic volume forecasting is widely recognized as an important element of
intelligent transportation systems, because the accuracy of predictive methods determines …

This paper addresses the problem of dynamic travel time (DTT) forecasting within highway
traffic networks using speed measurements. Definitions, computational details and …

Short-term traffic flow forecasting has always been an interesting research at the fields of
Intelligent Transportation Systems. This paper presents a time-based combined traffic flow …

Short-term travel time prediction is an important research direction of the intelligent
transportation system. However, due to the complex temporal and spatial correlation of the …

As one of the most significant components of Intelligent Transportation Systems (ITS), traffic
prediction has gained much popularity given its enormous application value in vehicular …

This paper addresses the problem of travel time forecasting within a highway. Several
measurements are captured describing travel times for multiple origin-destination (OD) …

为解决传统车队离散模型基于概率分布假设和现有交通流预测时间粒度过大不能应用于自适应
信号配时优化等问题. 在车队离散模型的建模思路上, 先分析了下游交叉口车辆到达与上游交叉 …