Analysis of Dashcam Video for Determination of Vehicle Speed

2020 ◽  
Author(s):  
Jack Leifer ◽  
Alvaro Marquez
Keyword(s):  
Vehicle Speed

scholarly journals On Determination of Pollution in Urban Junction, Caused by Vehicles

2013 ◽  
Vol 2 (4) ◽  
pp. 51
Author(s):  
Asllan Hajderi ◽  
Shkelqim Gjevori
Keyword(s):  
Pollution Reduction ◽  
Pollution Level ◽  
Environmental Tax ◽  
Vehicle Speed

In this study, given the determination of the pollution quantity from vehicles in an urbanjunction in order to reduce the pollution level and fuel. The pollution caused by vehicles,it is taken based on production years within the EC directives. Types of vehiclescirculating are determined based on vehicles state, divided by production years and thetype of engine.For urban junction with roundabout "Zogu Zi", they are performed measurements ofvehicles number, that move in an hour, describing way with slowly and relevant time. Forthis junction it is calculated vehicle speed at the junction and pollution quantity isconverted to g/min and then it is determined the pollution quantity per hour for existingstate of vehicles divided into 5 groups, according to pollution level. For practicalapplication, only vehicles manufactured after 2000 in circulation, it results that can beachieved a pollution reduction at the junction up to 3 times. To realize this, it is proposedthe removal of customs duty for vehicles manufactured after 2001 and establishment ofadditional environmental tax, proportional to the pollution degree for vehicles incirculation.

ASSESSMENT OF THE THREAT OF COLLISION OF AN UNMANNED VEHICLE WITH OTHER VEHICLES BY LASER LOCATION INFORMATION

2021 ◽  
pp. 3-9
Author(s):  
K. V. Obrosov ◽  
V. Ya. Kim ◽  
V. M. Lisitsyn
Keyword(s):  
Field Experiments ◽  
Unmanned Vehicles ◽  
Time Interval ◽  
Vehicle Speed ◽  
Automatic Assessment ◽  
The Road ◽  
Beam Laser ◽  
Abrupt Changes ◽  
Range Determination

The problems of using two-beam Laser Locators (LL) on Unmanned Vehicles (UV) are analyzed. The article discusses the solution to the problem of automatic assessment of the possibility of collision of a UV with other traffic participants based on information generated by the LL. LL performs controlled scanning of the road surface at a given distance from the vehicle. To generate the error signal in the tilt angle control loop, a special filtering of the correction sequence is applied. Such filtering eliminates numerous outliers and forms a sample of correction values that do not lead to abrupt changes in the road sensing range. The modeling of the system is performed, the adequacy of which is due to the results of the conducted field experiments with a real LL. It is shown that the threat of collision arises if the vehicle speed is in a certain (dangerous) interval, the boundaries of which are functions of the following arguments: – the angle between the tangents to the trajectories of the UV and the vehicle during the LL measurements “angle-angle-range”; – distances between the UV and the vehicle at the same time interval. Tasks solved: – estimates of the angle and distances between the UV and the vehicle based on the current LL measurements “angle-angle-range”; – determination of the boundaries of the dangerous range of vehicle speeds at known UV speeds and dimensions of the UV and vehicle; – estimation of the vehicle speed according to LL measurements “angle-angle-range”. Simulation methods were used to determine the accuracy of estimates of the boundaries of the vehicle speeds dangerous range, which made it possible to create an algorithm for warning about a possible collision.

scholarly journals An Analytical Framework for Accurate Traffic Flow Parameter Calculation from UAV Aerial Videos

2020 ◽  
Vol 12 (22) ◽  
pp. 3844
Author(s):  
Ivan Brkić ◽  
Mario Miler ◽  
Marko Ševrović ◽  
Damir Medak
Keyword(s):  
Traffic Flow ◽  
Low Cost ◽  
Vehicle Detection ◽  
Analytical Framework ◽  
Satellite System ◽  
Percentage Error ◽  
Vehicle Speed ◽  
Dual Frequency ◽  
Flow Parameters

Unmanned Aerial Vehicles (UAVs) represent easy, affordable, and simple solutions for many tasks, including the collection of traffic data. The main aim of this study is to propose a new, low-cost framework for the determination of highly accurate traffic flow parameters. The proposed framework consists of four segments: terrain survey, image processing, vehicle detection, and collection of traffic flow parameters. The testing phase of the framework was done on the Zagreb bypass motorway. A significant part of this study is the integration of the state-of-the-art pre-trained Faster Region-based Convolutional Neural Network (Faster R-CNN) for vehicle detection. Moreover, the study includes detailed explanations about vehicle speed estimation based on the calculation of the Mean Absolute Percentage Error (MAPE). Faster R-CNN was pre-trained on Common Objects in COntext (COCO) images dataset, fine-tuned on 160 images, and tested on 40 images. A dual-frequency Global Navigation Satellite System (GNSS) receiver was used for the determination of spatial resolution. This approach to data collection enables extraction of trajectories for an individual vehicle, which consequently provides a method for microscopic traffic flow parameters in detail analysis. As an example, the trajectories of two vehicles were extracted and the comparison of the driver’s behavior was given by speed—time, speed—space, and space—time diagrams.

scholarly journals Mathematical Model for Velocity Calculation of Three Types of Vehicles in the Case of Pedestrian Crash

2018 ◽  
Vol 68 (3) ◽  
pp. 95-110
Author(s):  
Hoxha Gëzim ◽  
Shala Ahmet ◽  
Likaj Ramë ◽  
Bajrami Xhevahir
Keyword(s):  
Mathematical Model ◽  
Accurate Determination ◽  
Geometrical Parameters ◽  
Vehicle Speed ◽  
Model Formulation ◽  
Vehicle Velocity ◽  
Pedestrian Accidents ◽  
Throw Distance ◽  
Front Profile

AbstractThis paper treats influencing factors in the determination of vehicles speed on the pedestrian crash moment according to pedestrian throw distance and formulates a mathematical model for vehicle speed determination. Vehicle speed is one of the highest causes of accidents. The mathematical model formulation (as the target of this paper) for velocity calculation, in the case of pedestrian accidents, presents great help and guidance to experts of this field when dealing with accident analysis that through accurate determination of this parameter to find other circumstances as close as possible to the technical process of pedestrian accidents. The target of this paper is to define a mathematical model formulation for vehicle velocity calculation in pedestrian crash moment depending on relevant parameters. For the purpose of model formulating, we have selected three cases of real accidents that involved vehicles (“Peugeot 307”, “VW Golf ” and “Mercedes E 220”) with different geometrical parameters of the front profile and pedestrians with different heights and weights. For regression analysis we used “R” and “SPSS” software, which enables the statistical analysis of the data and mathematical model formulation. Also, for analysis of impact of relevant factors, model formulation and model testing have used “Virtual Crash” and “PC Crash” software, which enables pedestrian-vehicle crash simulation using vehicles with real technical characteristics and various pedestrian characteristics. Inductive, comparative, and deductive methods are part of the research methods in this paper.

scholarly journals Methods for Investigating Road Traffic Accidents Using Modern Automated Means

2019 ◽  
Vol 18 (3) ◽  
pp. 256-264
Author(s):  
O. V. Saraiev ◽  
S. V. Danez
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Video Image ◽  
Vehicle Speed ◽  
Road Traffic Accidents ◽  
Reconstruction Process ◽  
Vehicle Movement

The paper presents investigation methods which are aimed at increasing an accuracy in determination of parameters for movement of vehicles in the reconstruction process of road traffic accidents. The problems with a target to improve a method for calculation of vehicle movement speed and location coordinates at different time moments have been solved in the paper. In order to determine more accurately nature of vehicle damage and their location on carriageway, a laser scanning method has been applied which makes it possible to reduce an error while determining dimensions and distances, and to shorten time for an inspection of the road traffic accident place. The presence of a scanned image in three-dimensional form allows more accurately to simulate nature and angle concerning approach of vehicles prior to a collision. A methodological support for determination of vehicle movement parameters has been developed on the basis of the recorded data from driving video recorders (DVRs). It has been established that an error in measuring a speed of movement for vehicles will depend on quality of a video image, length of the investigated area and range of possible speeds. A relative error will be the higher, the smaller we have vehicle speed range and length of the investigated section. A mathematical model of vehicle speed change in a differential form has been compiled and solved in the paper. The model allows to calculate a speed of motion at different time moments with respect to recording from driving video recorders. In addition, the developed methodology permits more accurately to determine coordinates of vehicle location on a photoand video image. This is especially important while determining places of pedestrian-road accident or vehicle collision location of the collision or the place of collision with regard to the edge of carriageway. Unlike subjective research methods when initial data for carrying out auto-technical investigations are established by interviewing witnesses and the accused, the proposed methods make it possible to permit reconstruction of a road traffic accident exclusively by objective methods with the help of automated technical means.

scholarly journals Determination of liquid product distribution route using clark and wright saving and tabu seacrh algorithm for a milk industry in indonesia

2018 ◽  
Vol 7 (2.29) ◽  
pp. 102 ◽  
Author(s):  
Hari Adianto ◽  
Adnan Ilman Riawan ◽  
Edi Susanto
Keyword(s):  
Tabu Search ◽  
Distribution System ◽  
Liquid Product ◽  
Distance Matrix ◽  
Product Distribution ◽  
Vehicle Speed ◽  
Calculation Results ◽  
Tabu Search Method ◽  
Level Of Importance

Distribution system is a bridge between producers and consumers where the level of importance is very high and the need for calculation of time and capacity of the determination of the route to be made. Therefore, it is necessary to propose effective and efficient distribution route determination by using Clarke & Wright and Tabu Search method and application proposal which must be in company. Based on the proposed distribution determination can determine the route of the achieved distribution channels, the efficiency of time and distance by taking into account the capacity, speed, route, and others. The Clarke & Wright and Tabu Search methods are used to determine the route of distribution routes and improvements on the routes route of distribution of ultra-liquid dairy products by considering the capacity aspect, vehicle speed, loading and unloading time, time matrix, distance matrix, distance saving, and iterations Contained in the method. Based on the calculation results can be concluded that the proposed determination of distribution feasible applied to the company because the comparison of time and distance performance resulting savings and improvements in time and distance by reducing the amount of time achieved on each route and tour contained in the applicable time horizon.  

scholarly journals Gradient characteristics of a detection field for image data

2018 ◽  
Vol 19 (12) ◽  
pp. 741-744
Author(s):  
Zbigniew Czapla
Keyword(s):  
Image Data ◽  
Vehicle Detection ◽  
Image Sequence ◽  
Video Stream ◽  
Binary Form ◽  
Vehicle Classification ◽  
Source Image ◽  
Vehicle Speed ◽  
Method Of Determination

The paper presents a method of determination of gradient characteristics describing a detection field. The presented method is destined for image data. Image data are in the form of a source image sequence. Frames taken from a video stream, obtained at a measurement station, create a source image sequence. The same detection field is defined for all images of the source image sequence. The source image sequence is converted into binary form. Conversion is carried out on the basis of analysis of source images gradients. Layout of obtained binary vales of target images is in accordance with a content of source images. In the area of detection field, arithmetic and averaging sums of binary values are appropriately calculated. On the bases of averaging sums of binary values, gradient characteristics of the detection field are determined. Gradient characteristics of detection field are intended for vehicle detection and also can be utilized for vehicle speed determination or vehicle classification..

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