https://ro.uow.edu.au/cgi/viewcontent.cgi?article=1273&context=smartpapers

Review of modelling air pollution from traffic at street-level - The state of the science.

Land use regression (LUR) models for air pollutants are often developed using multiple linear regression techniques. However, in the past decade linear (stepwise) regression methods have been criticized for their lack of flexibility, their ignorance of potential interaction between predictors, and their limited ability to incorporate highly correlated predictors. We used two training sets of ultrafine particles (UFP) data (mobile measurements (8200 segments, 25 s monitoring per segment), and short-term stationary measurements (368 sites, 3 × 30 min per site)) to evaluate different modeling approaches to estimate long-term UFP concentrations by estimating precision and bias based on an independent external data set (42 sites, average of three 24-h measurements). Higher training data R2 did not equate to higher test R2 for the external long-term average exposure estimates, making the argument that external validation data are critical to compare model performance. Machine learning algorithms trained on mobi...

https://pubs.acs.org/doi/pdf/10.1021/acs.est.8b06038

Performance of Prediction Algorithms for Modeling Outdoor Air Pollution Spatial Surfaces

Extraction of descriptive driving patterns from driving data using unsupervised algorithms

Driving style recognition and comparisons among driving tasks based on driver behavior in the online car-hailing industry.

To build more accurate and realistic freeway car-following models, driving characteristics specific to freeway car following should be considered. This study, therefore, analyzed three car-...

Modeling Car-Following Behavior on Freeways Considering Driving Style

The invention relates to a dynamic traffic simulation platform which comprises a perception layer, a fusion layer, an application layer and a presentation layer. The perception layer is connected with a dynamic traffic data collecting device, multivariate heterogeneous traffic flow data are obtained and transmitted to the fusion layer in real time, and the fusion layer is connected with the application layer. The multivariate heterogeneous traffic flow data and GIS data are received for processing, the application layer obtains road network dynamic traffic flow data, and a traffic simulation model is formed. Through the traffic simulation model and a traffic OD matrix, dynamic traffic simulation is performed, and the presentation layer receives the traffic simulation result of the dynamic traffic simulation in the application layer, and provides service application and presentation to a terminal client. The problem that in the prior art, a large number of real-time dynamic traffic data can not be rapidly matched with a road section well is solved. Therefore, the multifunctional dynamic traffic simulation platform is capable of performing OD back stepping and real-time dynamic traffic early warning on dynamic traffic flows on the basis of a GIS grid rapid matching technology.

Dynamic traffic simulation platform and simulation method thereof

The invention relates to a signal control system and signal control method based on traffic simulation. The signal control system comprises a data acquisition module, a simulation and forecast merging module, an intelligent traffic signal lamp control module and a traffic guidance module. The data acquired by a last intersection acquisition module are sent to the simulation and forecast merging module, the traffic flow data of a current intersection and the data acquired at the last intersection are sent to the intelligent traffic signal lamp control module to carry out self-adaptation traffic control, accordingly, a detector set at the current intersection is replaced, half detectors in a road section can be replaced and removed, the purchasing and maintaining cost are greatly saved, the intersections of upstream and downstream are corelated, the signal timing dial is uniformly coordinated and adjusted, the intercommunication of a road network is enhanced, a scheme capable of improving the traffic capacity of the road section can be designed, and the problem of traffic jam in cities at present can be relieved.

Signal control system and signal control method based on traffic simulation

The invention discloses a diagnostic technique for road network key nodes, which belongs to the technical field of urban road network planning. The steps include: firstly calculating geometric topological numerical values of the nodes; secondly, calculating traffic volume of the nodes; performing ranking calculation for the nodes and finally obtaining the ranking of the nodes and the key nodes. According to the diagnostic technique for road network key nodes, after the key nodes are confirmed, the key nodes can be protected, and measures of traffic flow limiting, traffic diversion or zonal charging and the like are adopted so as to improve the stability of the road network.

Diagnostic technique for road network key nodes

The invention relates to a pair of intelligent traffic glasses comprising a frame, a display module, a communication module, an input module, a processor module, a power supply module, and a traffic service module. The traffic service module is mainly composed of a storage sub module, a positioning sub module used for providing current position information, a data acquisition module used for acquiring command information output by the processor module and the position information of the positioning sub module, sending the command information and the position information through the communication module to a dynamic traffic FLOWSIM cloud, and then acquiring fed-back dynamic traffic data, and a data processing module used for receiving the dynamic traffic data sent by the data acquisition module, processing the dynamic traffic data and static traffic data by use of a traffic engineering model and a mathematical model to obtain final traffic data, and displaying the traffic data to uses through the display module. The problem that a portable and convenient terminal for providing traffic service lacks in the prior art is solved. The pair of intelligent traffic glasses capable of providing dynamic traffic service and convenient to use and a working method based on the intelligent traffic glasses are provided.

Intelligent traffic glasses and working method thereof

The present invention provides a road crossing signal dynamic regulation method based on online traffic simulation The method comprises: calculating the current traffic operation parameters in the current signal timing scheme according to the current traffic flow data; performing signal optimization timing calculation according to the current signal timing scheme and the traffic data, and obtaining an optimized signal timing scheme; performing traffic simulation aiming at the optimal signal timing scheme, and obtaining simulated and outputted traffic operation parameters; and finally, comparing the simulated traffic operation parameters with the current traffic operation parameters, if the simulated traffic operation parameters exceed a presetting threshold, outputting the optimal signal timing scheme, and performing road crossing signal timing through adoption of the optimal signal timing scheme The road crossing signal dynamic regulation method, device and system are able to provide different signal timing schemes for signal lights at the crossing aiming at road traffic flow at different time periods so as to improve the passing efficiency of a crossing and ensure that the crossing is able to operate in the optimal mode all the time in the condition that the road crossing operates at the optimal timing scheme

Road crossing signal dynamic regulation method, device and system

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