Estimating Traffic Flow in Large Road Networks Based on Multi-Source Traffic Data

Author(s):  
Pu Wang ◽  
Jiyu Lai ◽  
Zhiren Huang ◽  
Qian Tan ◽  
Tao Lin
2014 ◽  
Vol 70 (4) ◽  
Author(s):  
Nordiana Mashros ◽  
Johnnie Ben- Edigbe ◽  
Sitti Asmah Hassan ◽  
Norhidayah Abdul Hassan ◽  
Nor Zurairahetty Mohd Yunus

This paper explores the impact of various rainfall conditions on traffic flow and speed at selected location in Terengganu and Johor using data collected on two-lane highway. The study aims to quantify the effect of rainfall on average volume, capacity, mean speed, free-flow speed and speed at capacity. This study is important to come out with recommendation for managing traffic under rainfall condition. Traffic data were generated using automatic traffic counters for about three months during the monsoon season. Rainfall data were obtained from nearest surface rain gauge station. Detailed vehicular information logged by the counters were retrieved and processed into dry and various rainfall conditions. Only daylight traffic data have been used in this paper. The effect of rain on traffic flow and speed for each condition were then analysed separately and compared. The results indicated that average volumes shows no pronounce effect under rainfall condition compared to those under dry condition. Other parameters, however, show a decrease under rainfall condition. Capacity dropped by 2-32%, mean speed, free-flow speed and speed at capacity reduced by 3-14%, 1-14% and 3-17%, respectively. The paper recommends that findings from the study can be incorporated with variable message sign, local radio and television, and variable speed limit sign which should help traffic management to provide safer and more proactive driving experiences to the road user. The paper concluded that rainfall irrespective of their intensities have impact on traffic flow and speed except average volume.


Author(s):  
Lu Sun ◽  
Jie Zhou

Empirical speed–density relationships are important not only because of the central role that they play in macroscopic traffic flow theory but also because of their connection to car-following models, which are essential components of microscopic traffic simulation. Multiregime traffic speed– density relationships are more plausible than single-regime models for representing traffic flow over the entire range of density. However, a major difficulty associated with multiregime models is that the breakpoints of regimes are determined in an ad hoc and subjective manner. This paper proposes the use of cluster analysis as a natural tool for the segmentation of speed–density data. After data segmentation, regression analysis can be used to fit each data subset individually. Numerical examples with three real traffic data sets are presented to illustrate such an approach. Using cluster analysis, modelers have the flexibility to specify the number of regimes. It is shown that the K-means algorithm (where K represents the number of clusters) with original (nonstandardized) data works well for this purpose and can be conveniently used in practice.


Author(s):  
D. Boto-Giralda ◽  
J. F. Díez-Higuera ◽  
F. J. Díaz-Pernas ◽  
F. J. Perozo-Rondón ◽  
R. Frías-Simón ◽  
...  

2011 ◽  
Vol 2011 (04) ◽  
pp. P04008 ◽  
Author(s):  
Jan de Gier ◽  
Timothy M Garoni ◽  
Omar Rojas

2006 ◽  
Vol 39 (12) ◽  
pp. 79-84 ◽  
Author(s):  
Hikaru Shimizu ◽  
Masa-aki Kobayashi ◽  
Haruko Fujii ◽  
Hiroshi Ishikawa

2014 ◽  
Vol 505-506 ◽  
pp. 1118-1121
Author(s):  
Han Yang

Vehicular trajectories are firstly achieved on the basis of vehicle time and space information obtained from VISSIM simulation. Via simulating setting loop detectors at different locations and collecting traffic data in different time intervals, different traffic flow fundamental diagrams on the basis of the detect data are then generated. Finally, comparing these fundamental diagrams, two conclusions are achieved. The loop detective interval has a significant impact on fundamental diagrams while the detector location has an extremely limited influence. Particularly, fundamental diagram is more aggregated with longer data collecting interval and capacity is more easily to be obtained with longer distance between neighboring loop detectors.


Author(s):  
Ambróz Hájnik ◽  
Alica Kalašová ◽  
Veronika Harantová ◽  
Ján Beňuš ◽  
Stanislav Kubaľák

In our paper, we have analyzed and compared fixed and actuated control at a chosen intersection, where we pointed out the importance of actuated control and its benefits. We have used traffic data from sensors in the roadway. The intersection was modelled in Aimsun, where we performed simulations. The research focused mainly on the impact of actuated control on the basic characteristics of the traffic flow, delay time and emissions. The outputs of simulations showed positive results of actuated control in all compared values. The environmental pollution topic is up-to-date and road transport has a significant impact on it. Furthermore, we want to continue with our research to investigate the impact of speed changes on emission production and the smoothness of the traffic flow under fixed and actuated control.


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