Improvement of METANET Model Based on Critical Density Modeling for Traffic Control

2021 ◽  
Author(s):  
Lina Fu ◽  
Jie Fang ◽  
Yunjie Lyu ◽  
Huahui Xie
Keyword(s):  
Traffic Safety ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Field Data ◽  
Critical Density ◽  
Predictive Performance ◽  
Density Model ◽  
Model Based ◽  
Freeway Control ◽  
Density Modeling

Freeway control has been increasingly used as an innovative approach to ease traffic congestion, improve traffic safety and reduce exhaust emissions. As an important predictive model involved in freeway control, the predictive performance of METANET greatly influences the effect of freeway control. This paper focuses on modifying the METANET model by modeling the critical density. Firstly, the critical density model is deduced based on the catastrophe theory. Then, the perturbation wave and traveling wave that are obtained using the macro and micro data, respectively, have been developed to modify the above proposed critical density model. Finally, the numerical simulation is established to evaluate the effectiveness of the modified METANET model based on the field data from the realistic motorway network. The results show that overall, the predicted data from the modified METANET model are closer to the field data than those obtained from the original model.

Research of the Temporary Parking Acceleration-Spacing Model Based on Swarm Theory

2013 ◽  
Vol 361-363 ◽  
pp. 2113-2116
Author(s):  
Jin Xin Cao ◽  
Lei Wang ◽  
Wei Li Zhang ◽  
Jun Wu
Keyword(s):  
Traffic Flow ◽  
Potential Field ◽  
Traffic Congestion ◽  
Field Method ◽  
Lagrange Method ◽  
Traffic Jams ◽  
Model Based ◽  
Potential Field Method ◽  
Swarm Theory

The disturbance factors in the traffic flow may lead to traffic congestion. The agglomeration characteristics shown in traffic jams are similar to the biological swarm characteristics. In this paper, acceleration-spacing model is established based on the potential field method and the Lagrange method. The vehicle in front is viewed as the main force source. Then the data of the traffic congestion caused by the temporary parking in front of the school are used to calibrate the parameters of the model. It can be verified that the model is effective.

Town Traffic Safety Evaluation Model Based on PSR – SPA

ICCTP 2011 ◽  
2011 ◽  
Author(s):  
Jianxiao Ma ◽  
Taowei Yan ◽  
Li Lin ◽  
Jingwen Jiang
Keyword(s):  
Traffic Safety ◽  
Evaluation Model ◽  
Safety Evaluation ◽  
Model Based

Prediction of Vehicular Traffic Flow using Levenberg-Marquardt Artificial Neural Network Model: Italy Road Transportation System

2022 ◽  
Vol 24 (2) ◽  
pp. E74-E86
Author(s):  
Isaac Oyeyemi Olayode ◽  
Alessandro Severino ◽  
Tiziana Campisi ◽  
Lagouge Kwanda Tartibu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Traffic Flow ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Autonomous Vehicles ◽  
Time Of Day ◽  
Vehicle Speed ◽  
Road Transportation ◽  
Artificial Neural

In the last decades, the Italian road transport system has been characterized by severe and consistent traffic congestion and in particular Rome is one of the Italian cities most affected by this problem. In this study, a LevenbergMarquardt (LM) artificial neural network heuristic model was used to predict the traffic flow of non-autonomous vehicles. Traffic datasets were collected using both inductive loop detectors and video cameras as acquisition systems and selecting some parameters including vehicle speed, time of day, traffic volume and number of vehicles. The model showed a training, test and regression value (R2) of 0.99892, 0.99615 and 0.99714 respectively. The results of this research add to the growing body of literature on traffic flow modelling and help urban planners and traffic managers in terms of the traffic control and the provision of convenient travel routes for pedestrians and motorists.

Safety Impact of Weaving Distance on Freeway Facilities with Managed Lanes using Both Microscopic Traffic and Driving Simulations

2018 ◽  
Vol 2672 (39) ◽  
pp. 130-141 ◽  
Author(s):  
Qing Cai ◽  
Moatz Saad ◽  
Mohamed Abdel-Aty ◽  
Jinghui Yuan ◽  
Jaeyoung Lee
Keyword(s):  
Traffic Safety ◽  
Traffic Congestion ◽  
Driving Simulator ◽  
Negative Impact ◽  
Control Strategies ◽  
General Purpose ◽  
Valuable Insight ◽  
Lane Change ◽  
Simulation Studies ◽  
Managed Lanes

With the challenges of increasing traffic congestion, the concept of managed lanes (MLs) has been gaining popularity recently as a means to effectively improve traffic mobility. MLs are usually designed to be left-lane concurrent with an at-grade access/exit. Such a design forms weaving segments since it requires vehicles to change multiple general purpose lanes (GPLs) to enter or exit the ML. The weaving segments could have a negative impact on traffic safety in the GPLs. This study provides a comprehensive investigation of the safety impact of different lengths for each lane change maneuver on GPL weaving segments close to the ingress and egress of MLs through two simulation approaches: VISSIM microsimulation and driving simulator. The two simulation studies are developed based on traffic data collected from freeway I-95 in Miami, Florida. The results from the two simulation studies support each other. Based on the two simulation studies, it is recommended that 1,000 feet be used as the optimal length for per lane change at the GPLs weaving segments with MLs. The safety impact of traffic volume, variable speed limit control strategies, and drivers’ gender and age characteristics are also explored. This study can provide valuable insight for evaluating the traffic performance of freeway weaving segments with the presence of concurrent GPLs and MLs in a highway safety context. It also provides guidelines for future conversion of freeways to include MLs.

The Application of Correlation ILS Techniques to Terminal Area Traffic Control

1969 ◽  
Vol 22 (04) ◽  
pp. 464-478
Author(s):  
J. Benjamin
Keyword(s):  
Hyperbolic Geometry ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Fundamental Aspect ◽  
Recent Contribution ◽  
Detection Techniques ◽  
Data Links ◽  
Area Problem ◽  
Integrate Data ◽  
Terminal Area

This paper outlines possible applications in the terminal area of an ILS based on hyperbolic geometry and correlation detection.1. Introduction. A recent contribution to thisJournalhas surveyed the terminal area problem at London and outlined the research which is necessary to improve traffic handling capability. It was shown that contributions from many different development efforts will need to be integrated in order to achieve a worthwhile result. A fundamental aspect is that the problem of traffic congestion begins and ends at the runways and that the performance of the instrument landing system is of major importance. This paper will indicate how an approach and landing aid based on hyperbolic geometry and using correlation detection techniques can offer solutions to many of the known causes of traffic delay. The same principles can be used to integrate data links and monitoring into a complex which should be designed to aid the pilot as well as the controller.

WEATHER AND THE ECOLOGY OF APANTELES FUMIFERANAE VIER. (HYMENOPTERA: BRACONIDAE)

1988 ◽  
Vol 120 (S146) ◽  
pp. 57-70 ◽  
Author(s):  
Vincent G. Nealis
Keyword(s):  
Field Data ◽  
Historical Data ◽  
Spruce Budworm ◽  
Temperature Dependent ◽  
Maturation Period ◽  
Phenological Model ◽  
Model Based ◽  
Egg Maturation ◽  
Adult Parasitoid ◽  
Specific Mortality

AbstractThe effects of weather on the spruce budworm parasitoid, Apanteles fumiferanae Vier., are examined. A phenological model based on temperature-dependent rates of development and longevity is developed and validated with field data. The model is then used to explore the effects of age-specific mortality on phenological behaviour of the parasitoid and the seasonal synchrony between the parasitoid and its host over several years. The results show that the parasitoid adult ecloses well before the host reaches an age susceptible to parasitism but that the egg maturation period and the longevity of the parasitoid diminish the consequences of the apparent asynchrony. The historical data reveal that the relative phenological characteristics of A. fumiferanae and its host vary little from year to year. In the second part of the study, temperature is shown to have a strong effect on adult parasitoid activity and on the rate of oviposition.

scholarly journals The Effects of Picking Up Primary School Pupils on Surrounding Street’s Traffic: A Case Study in Hanoi

2020 ◽  
Vol 14 (1) ◽  
pp. 237-250
Author(s):  
Dinh Hiep ◽  
Vu V. Huy ◽  
Teppei Kato ◽  
Aya Kojima ◽  
Hisashi Kubota
Keyword(s):  
Primary School ◽  
Traffic Safety ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Primary Schools ◽  
Traffic Accidents ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Almost All

Introduction: One of the significant characteristics of schools in Vietnam is that almost all parents send their children to school and/or pick up their children from school using private vehicles (motorcycles). The parents usually stop and park their vehicle on streets outside the school gates, which can lead to serious congestion and increases the likelihood of traffic accidents. Methods: The objective of this study is to find out factors affecting the picking up of pupils at primary school by evaluating the typical primary schools in Hanoi city. A binary logistic regression model was used to determine factors that influence the decision of picking up pupils and the waiting duration of parents. The behavior of motorcyclists during the process of picking up pupils at the primary school gate has been identified and analyzed in detail by the Kinovea software. Results and Discussion: The study showed that, on the way back home, almost all parents use motorbikes (89.15%) to pick up their children. During their waiting time (8.48 minutes in average), they made a lot of illegal parking actions on the street there by, causing a lot of “cognitive” errors and “crash” points surrounding in front of the primary school entrance gate. Risky picking-up behaviors were significantly observed, i.e. picking-up on opposite side of the school, making a U-turn, backing-up dangerously, parking on the middle of street, and parking on the street next to sidewalk). Conclusion: Based on the analyzed results, several traffic management measures have been suggested to enhance traffic safety and reduce traffic congestion in front of school gates. In addition, the results of the study will provide a useful reference for policymakers and authorities.

scholarly journals Radiomics-Based Detection of Radionecrosis Using Harmonized Multiparametric MRI

Cancers ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 286
Author(s):  
Clément Acquitter ◽  
Lucie Piram ◽  
Umberto Sabatini ◽  
Julia Gilhodes ◽  
Elizabeth Moyal Cohen-Jonathan ◽  
...  
Keyword(s):  
Classification Accuracy ◽  
Predictive Power ◽  
Clinical Observation ◽  
Predictive Performance ◽  
Multiparametric Mri ◽  
Random Forest Classifier ◽  
Additional Benefit ◽  
Image Normalization ◽  
Model Based

In this study, a radiomics analysis was conducted to provide insights into the differentiation of radionecrosis and tumor progression in multiparametric MRI in the context of a multicentric clinical trial. First, the sensitivity of radiomic features to the unwanted variability caused by different protocol settings was assessed for each modality. Then, the ability of image normalization and ComBat-based harmonization to reduce the scanner-related variability was evaluated. Finally, the performances of several radiomic models dedicated to the classification of MRI examinations were measured. Our results showed that using radiomic models trained on harmonized data achieved better predictive performance for the investigated clinical outcome (balanced accuracy of 0.61 with the model based on raw data and 0.72 with ComBat harmonization). A comparison of several models based on information extracted from different MR modalities showed that the best classification accuracy was achieved with a model based on MR perfusion features in conjunction with clinical observation (balanced accuracy of 0.76 using LASSO feature selection and a Random Forest classifier). Although multimodality did not provide additional benefit in predictive power, the model based on T1-weighted MRI before injection provided an accuracy close to the performance achieved with perfusion.

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