scholarly journals Empirical Study of Travel Time Estimation and Reliability

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Ruimin Li ◽  
Huajun Chai ◽  
Jin Tang
Keyword(s):  
Travel Time ◽  
Time Distribution ◽  
Large Scale ◽  
Variance Estimation ◽  
Time Estimation ◽  
Estimation Methods ◽  
Travel Time Estimation ◽  
Time Variance ◽  
Travel Time Distribution ◽  
Average Travel Time

This paper explores the travel time distribution of different types of urban roads, the link and path average travel time, and variance estimation methods by analyzing the large-scale travel time dataset detected from automatic number plate readers installed throughout Beijing. The results show that the best-fitting travel time distribution for different road links in 15 min time intervals differs for different traffic congestion levels. The average travel time for all links on all days can be estimated with acceptable precision by using normal distribution. However, this distribution is not suitable to estimate travel time variance under some types of traffic conditions. Path travel time can be estimated with high precision by summing the travel time of the links that constitute the path. In addition, the path travel time variance can be estimated by the travel time variance of the links, provided that the travel times on all the links along a given path are generated by statistically independent distributions. These findings can be used to develop and validate microscopic simulations or online travel time estimation and prediction systems.

An Method to Urban Road Travel Time Estimation through ITS Data Fusion Based on D-S Evidential Theory

2014 ◽  
Vol 488-489 ◽  
pp. 1419-1425 ◽  
Author(s):  
Jing Xin Xia ◽  
Wei Hua Zhang ◽  
Dang Sheng Ma
Keyword(s):  
Travel Time ◽  
Time Estimation ◽  
Estimation Methods ◽  
Estimation Accuracy ◽  
Identification System ◽  
Travel Time Estimation ◽  
Traffic Data ◽  
Data Resource ◽  
Evidential Theory ◽  
Link Travel Time

Focused on the current situations of the multiple traffic data collection efforts for urban roads, the link travel time estimation methods are respectively proposed based on two traffic data resources as station traffic data collected by microwave detectors and the vehicle plate data collected by the video vehicle plate identification system. Based on this, the link travel time estimation approach by fusing two data resources is presented using the Dempster-Shafer evidence reasoning theory, in which the probability distribution function is firstly used to construct the evidence function for each data resource, and then the weights for the two different data resources are estimated for link travel time fusion estimation through the combination rule of Dempster-Shafer evidence reasoning theory. Using the true link travel time collected by the test vehicles, the performance of the proposed method for link travel time estimation is evaluated. Evaluation results show that the proposed method can significantly improve the link travel time estimation accuracy when compared to the methods that merely uses single data resource.

scholarly journals A Simple Baseline for Travel Time Estimation using Large-scale Trip Data

2019 ◽  
Vol 10 (2) ◽  
pp. 1-22 ◽  
Author(s):  
Hongjian Wang ◽  
Xianfeng Tang ◽  
Yu-Hsuan Kuo ◽  
Daniel Kifer ◽  
Zhenhui Li
Keyword(s):  
Travel Time ◽  
Large Scale ◽  
Time Estimation ◽  
Travel Time Estimation

scholarly journals Developing travel time estimation methods using sparse GPS data

2016 ◽  
Vol 20 (6) ◽  
pp. 532-544 ◽  
Author(s):  
Irum Sanaullah ◽  
Mohammed Quddus ◽  
Marcus Enoch
Keyword(s):  
Travel Time ◽  
Time Estimation ◽  
Estimation Methods ◽  
Gps Data ◽  
Travel Time Estimation
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