Mean travel speed estimation using GPS data without ID number on inner city road

Author(s):  
Suvit Poomrittigul ◽  
Setha Pan-ngum ◽  
Kunchit Phiu-Nual ◽  
Wasan Pattara-atikom ◽  
Panita Pongpaibool
2016 ◽  
Vol 8 (11) ◽  
pp. 168781401667816 ◽  
Author(s):  
Jiancheng Weng ◽  
Chang Wang ◽  
Hainan Huang ◽  
Yueyue Wang ◽  
Ledian Zhang

Measurement ◽  
2020 ◽  
Vol 165 ◽  
pp. 108150 ◽  
Author(s):  
Liqun Peng ◽  
Zhixiong Li ◽  
Chenhao Wang ◽  
Thompson Sarkodie-Gyan

Author(s):  
John S. Miller ◽  
G. Michael Fitch ◽  
Lance E. Dougald ◽  
Scott R. Kreissler ◽  
David H. Hill

The air quality conformity process requires travel speed estimation for a horizon year, where often few roadway characteristics are precisely known. This paper presents the results of a study to validate three relatively common speed estimation techniques comparing predicted speeds with speeds measured on specific roadway links and illustrates how disparity in speed predictions affect nitrogen oxide (NOx) and volatile organic compound (VOC) estimates in the MOBILE6 emissions model. The results are intriguing. On average, the mean absolute errors for the three techniques were similar, ranging between 8 and 12 mph. This large error resulted because free-flow speed and capacity from the long-range model were not always representative of the links being studied. Further, the study suggests that the error associated with any of the techniques could be reduced to 4 mph through judicious altering of the default capacity or default free-flow speed for a given class of links, a feasible approach even for large networks. Finally, MOBILE6 testing with Virginia metropolitan data suggests that the differences in speed predictions yield a 2.5% difference in estimated VOC emissions, with one technique overestimating VOC emissions by 1.75% and two underestimating VOC emissions by 0.71%. All three techniques underestimated metropolitan area NOx emissions by less than 2%. Because link-based speed validation efforts are relatively rare within the conformity analysis process, the methodology discussed here should be of interest to smaller metropolitan planning organizations seeking to verify that accurate speeds are used in conformity determination.


CICTP 2019 ◽  
2019 ◽  
Author(s):  
Yahao Wen ◽  
Hong Chen ◽  
Yinqiu Wei ◽  
Zhizhen Liu

2012 ◽  
Vol 178-181 ◽  
pp. 2805-2810 ◽  
Author(s):  
Hai Wei Fu ◽  
Lin Chi Qu

Floating car data (FCD, also called probe vehicle, PV) system is a new and based on a certain percentage of all vehicles in the traffic which are equipped with a location and data communication device transmitting experienced traffic flow parameters to a traffic information center. Then the link travel status can be estimated using these large sample dada. In this paper, an evaluation and analysis method for FCD system in Ningbo was introduced. Firstly, a mathematical statistical method is used to compute the minimum probe vehicles number on one segmental road. Then, the original GPS data was analyzed on several aspects, including PV-GPS data coverage and average probe vehicle number of covered links. Based on the minimum probe vehicles number, we can evaluate overall quality of FCD system and improve it accordingly. Finally, the obtained traffic state information was validated with test drives of independent vehicles driving on a long loop route with many intersections. A valuable conclusion is obtained, and would be a valuable basis for developing FCD system in the further work.


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