2017
DOI: 10.1007/978-3-319-61297-3_18
|View full text |Cite
|
Sign up to set email alerts
|

Spatio-Temporal Traffic Flow Forecasting on a City-Wide Sensor Network

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2018
2018
2018
2018

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 12 publications
0
1
0
Order By: Relevance
“…The accuracy of the running speed estimates generated by the proposed system is evaluated in terms of the mean absolute error (MAE), in line with the practice followed by several works on traffic condition estimation (e.g. [49], [116] and [148]). In this context, the MAE is simply equal to the average of the absolute differences between the true running speed and the estimated running speed, considering all the road segments in all the trajectories.…”
Section: Evaluation Of the Traffic Condition Estimation Systemmentioning
confidence: 99%
“…The accuracy of the running speed estimates generated by the proposed system is evaluated in terms of the mean absolute error (MAE), in line with the practice followed by several works on traffic condition estimation (e.g. [49], [116] and [148]). In this context, the MAE is simply equal to the average of the absolute differences between the true running speed and the estimated running speed, considering all the road segments in all the trajectories.…”
Section: Evaluation Of the Traffic Condition Estimation Systemmentioning
confidence: 99%