scholarly journals Vehicle Detection and Traffic Prediction

2021 ◽  
Vol 9 (9) ◽  
pp. 1791-1794
Author(s):  
Ms. Aysha
Keyword(s):  
Linear Regression ◽  
Object Detection ◽  
Multiple Linear Regression ◽  
Police Officers ◽  
Traffic Control ◽  
Vehicle Detection ◽  
Vehicle Speed ◽  
The Road ◽  
On The Road ◽  
Control Traffic

Abstract: On the road, vehicle detection processes are utilized for vehicle tracking, vehicle counting, vehicle speed, and traffic analysis. For vehicle detection, the Tensorflow object detection API method is employed. The Object Detection API in Tensorflow is a powerful tool that allows anyone to easily design and deploy effective picture recognition applications. Another way to control traffic is to use a traffic control system. Multiple linear regression is utilized to regulate the traffic system, while the OpenCV approach is used to identify vehicle speed. A system for fine payment is also offered. It makes police officers' jobs easier. The exact results of vehicle speed and traffic control are provided. Keywords: Vehicle detection, Tensorflow object detection API, Multiple linear regression, OpenCV, Fine payment

Intelligent traffic control system based on open IoT and machine learning

2020 ◽  
pp. 1-12
Author(s):  
Jiaona Chen ◽  
Hailong Liu
Keyword(s):  
Machine Learning ◽  
Control System ◽  
Traffic Control ◽  
Road Traffic ◽  
Control Process ◽  
Vehicle Speed ◽  
Smart Transportation ◽  
The Road ◽  
Traffic Control System ◽  
On The Road

Smart transportation relies on data collection, transmission, processing, and release, involving various terminal devices, control systems, central platforms, and communication links, so its control process is more complicated. In order to improve the operation efficiency of the intelligent traffic control system, based on the open Internet of Things and machine learning, this paper builds an intelligent three-way intelligent traffic control system, sets various parameters, and builds a simulation model using cellular automata as a platform. Moreover, in order to study the performance of the model, the model constructed in this paper is compared with the model of the traditional road traffic control system. In addition, this paper analyzes the model constructed in this paper through the statistics of the highest vehicle flow on the road and the relationship between road occupancy and vehicle speed. The research results show that the model constructed in this paper has good performance and can be applied to intelligent traffic control.

scholarly journals Improvement in Target Range Estimation and the Range Resolution Using Drone

Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1136 ◽  
Author(s):  
Kwan Hyeong Lee
Keyword(s):  
Detection Rate ◽  
Traffic Accidents ◽  
Vehicle Detection ◽  
Target Range ◽  
Vehicle Speed ◽  
Moving Vehicle ◽  
Range Resolution ◽  
The Road ◽  
Moving Vehicles ◽  
On The Road

This study measured the speed of a moving vehicle in multiple lanes using a drone. The existing methods for measuring a vehicle’s speed while driving on the road measure the speed of moving automobiles by means of a sensor that is mounted on a structure. In another method, a person measures the speed of a vehicle at the edge of a road using a speed-measuring tool. The existing method for measuring a vehicle’s speed requires the installation of a gentry-structure; however, this produces a high risk for traffic accidents, which makes it impossible to measure a vehicle’s speed in multiple lanes at once. In this paper, a method that used a drone to measure the speed of moving vehicles in multiple lanes was proposed. The suggested method consisted of two LiDAR sets mounted on the drone, with each LiDAR sensor set measuring the speed of vehicles moving in one lane; that is, estimating the speed of moving vehicles in multiple lanes was possible by moving the drone over the road. The proposed method’s performance was compared with that of existing equipment in order to measure the speed of moving vehicles using the manufactured drone. The results of the experiment, in which the speed of moving vehicles was measured, showed that the Root Mean Square Error (RMSE) of the first lane and the second lane was 3.30 km/h and 2.27 km/h, respectively. The vehicle detection rate was 100% in the first lane. In the second lane, the vehicle detection rate was 94.12%, but the vehicle was not detected twice in the experiment. The average vehicle detection rate is 97.06%. Compared with the existing measurement system, the multi-lane moving vehicle speed measurement method that used the drone developed in this study reduced the risk of accidents, increased the convenience of movement, and measured the speed of vehicles moving in multiple lanes using a drone. In addition, it was more efficient than current measurement systems because it allowed an accurate measurement of speed in bad environmental conditions.

Vehicle Detection and Tracking in Complex Traffic Circumstances with Roadside LiDAR

2019 ◽  
Vol 2673 (9) ◽  
pp. 62-71 ◽  
Author(s):  
Zhenyao Zhang ◽  
Jianying Zheng ◽  
Hao Xu ◽  
Xiang Wang
Keyword(s):  
High Resolution ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Vehicle Detection ◽  
Traffic Data ◽  
The Road ◽  
Detection And Tracking ◽  
Area Of Interest ◽  
Vehicle Detection And Tracking ◽  
On The Road

The problem of traffic safety has become increasingly prominent owing to the increase in the number of cars. Traffic accidents often occur in an instant, which makes it necessary to obtain traffic data with high resolution. High-resolution micro traffic data (HRMTD) indicates that the spatial resolution reaches the centimeter level and that the temporal resolution reaches the millisecond level. The position, direction, speed, and acceleration of objects on the road can be extracted with HRMTD. In this paper, a LiDAR sensor was installed at the roadside for data collection. An adjacent-frame fusion method for vehicle detection and tracking in complex traffic circumstances is presented. Compared with the previous research, objects can be detected and tracked without object model extraction or a bounding box description. In addition, problems caused by occlusion can be improved using adjacent frames fusion in the vehicle detection and tracking algorithms in this paper. The data processing procedure are as follows: selection of area of interest, ground point removal, vehicle clustering, and vehicle tracking. The algorithm has been tested at different sites (in Reno and Suzhou), and the results demonstrate that the algorithm can perform well in both simple and complex application scenarios.

scholarly journals Analysis of Traffic Evolution on Road Networks of a Roundabout

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Tolesa Hundesa Muleta ◽  
Legesse Lemecha Obsu
Keyword(s):  
Traffic Congestion ◽  
Road Network ◽  
Road Networks ◽  
Point Of View ◽  
Traffic Dynamics ◽  
Demand And Supply ◽  
The Road ◽  
On The Road ◽  
Detailed Mathematical Analysis ◽  
Control Traffic

In this paper, the analyses of traffic evolution on the road network of a roundabout having three entrances and three exiting legs are conducted from macroscopic point of view. The road networks of roundabouts are modeled as a merging and diverging types 1×2 and 2×1 junctions. To study traffic evolution at junction, two cases have been considered, namely, demand and supply limited cases. In each case, detailed mathematical analysis and numerical tests have been presented. The analysis in the case of demand limited showed that rarefaction wave fills the portion of the road network in time. In the contrary, in supply limited case, traffic congestion occurs at merging junctions and shock wave propagating back results in reducing the performance of a roundabout to control traffic dynamics. Also, we illustrate density and flux profiles versus space discretization at different time steps via numerical simulation with the help of Godunov scheme.

On-the-Road Detection of Driving While Intoxicated

1979 ◽  
Vol 23 (1) ◽  
pp. 263-266
Author(s):  
Douglas H. Harris
Keyword(s):  
Law Enforcement ◽  
Police Officers ◽  
Visual Cues ◽  
Frequency Of Occurrence ◽  
Road Detection ◽  
Patrol Officers ◽  
Law Enforcement Agencies ◽  
Driving While Intoxicated ◽  
The Road ◽  
On The Road

Visual cues were identified and procedures were developed to enhance on-the-road detection of driving while intoxicated (DWI) by police patrol officers. Related research was reviewed; police officers with demonstrated effectiveness in DWI detection were interviewed; DWI arrest reports were analyzed; and a study was conducted to determine the frequency of occurrence and relative discriminability of potential visual cues. Based on the results, a DWI detection Guide was developed; the Guide is currently being verified and evaluated in a field-study involving a sample of 10 law enforcement agencies.

Analysis of Dynamic Load Level of High-Speed Heavy Vehicle Imposed on Uneven Pavement

2011 ◽  
Vol 138-139 ◽  
pp. 146-152
Author(s):  
Guo He Guo ◽  
Yu Feng Bai ◽  
Tao Wang
Keyword(s):  
Dynamic Load ◽  
High Speed ◽  
Load Level ◽  
Heavy Vehicle ◽  
Vehicle Speed ◽  
Destructive Effect ◽  
The Road ◽  
Wide Range ◽  
On The Road ◽  
Factor Interaction

Based on the significant destructive effect of heavy vehicle on uneven roads, two simplified models of pavement unevenness and vehicle dynamic load were established in accordance with D'A lembert principle, and Matlab software was used to analyze the changing law of dynamic load under the conditions of different road unevenness, vehicle speed and load. The results show that vehicles running on uneven road may produce more cumulative damages than static load, and DLC (dynamic load coefficient) changes in wide range, maximum up to 2.0 or more; the effect of speed and load on dynamic load is complex, and due to multi-factor interaction, DLC doesn’t consistently increase or decrease with speed and load increasing. Although the dynamic load level caused by high-speed heavy vehicle is not necessarily too high, its impact on the road can not be ignored.

Effects of Speed Bumps and Humps on Motorcycle Speed Profiles

2014 ◽  
Vol 931-932 ◽  
pp. 536-540 ◽  
Author(s):  
Wichuda Satiennam ◽  
Thaned Satiennam ◽  
Pornsiri Urapa ◽  
Tussawan Phacharoen
Keyword(s):  
Developing Countries ◽  
Developed Countries ◽  
Vehicle Speed ◽  
Passenger Car ◽  
The Road ◽  
Acceleration Rate ◽  
Major Mode ◽  
Before And After ◽  
On The Road ◽  
Speed Humps

In developed countries, the use of speed humps and bumps have evolved from extensive research and testing which been properly designed and standardized. On the contrary in developing countries, no systematic and scientific studies have been carried out on that environment, especially the study on the effects that the motorcyclists response to the humps and bumps. This study therefore reveals the riders behavior when negotiating their speed to the devices. A case study was conducted in the provincial cities of Thailand where the motorcycle was a major mode of transportation. Six locations with speed humps and bumps were selected. Vehicles passing times were simultaneously recorded at 12 points along each traffic calmed link. From these data, a speed profile for each individual vehicle and for a link could be derived. It is found that speed humps and bumps have critically different impacts on motorcycle rider and passenger car driver. The smaller size speed bumps could effectively control the rider speed but have diverse impacts on the driver. These speed differences could post more safety deficiency to the site. The effect of the device on riders behavior, however, is restricted to a short spatial range (about 20-30 m before and after the device). For the speed humps, the motorcycle speeds are quite varied depending mainly on the road terrain. It is found that the motorcyclists have significant lower acceleration rate on the upgrade terrain when compared to the passenger car. Therefore, it is important to take all these rider characteristics into considerations when design the road humps to control vehicle speed in the developing countries.

Study on the Dynamic Wheel Load of Multi-Axle Vehicle Based on Distribute Loading Weight

2010 ◽  
Vol 159 ◽  
pp. 35-40
Author(s):  
Zhong Hong Dong
Keyword(s):  
Dynamic Load ◽  
Influence Factors ◽  
Vehicle Speed ◽  
Tire Pressure ◽  
Wheel Load ◽  
The Road ◽  
Road Roughness ◽  
Tire Stiffness ◽  
On The Road

To study the dynamic wheel load on the road, a dynamic multi-axle vehicle mode has been developed, which is based on distribute loading weight and treats tire stiffness as the function of tire pressure and wheel load. Taking a tractor-semitrailer as representative, the influence factors and the influence law of the dynamic load were studied. It is found that the load coefficient increases with the increase of road roughness, vehicle speed and tire pressure, yet it decreases with the increase of axle load. Combining the influences of road roughness, vehicle speed, axle load and tire pressure, the dynamic load coefficient is 1.14 for the level A road, 1.19 for the level B road, 1.27 for the level C road, and 1.36 for the level D road.

scholarly journals PENGARUH SUKARELAWAN PENGATUR LALU LINTAS TERHADAP KINERJA SIMPANG TAK BERSINYAL GANESHA SURAKARTA

2019 ◽  
Vol 19 (2) ◽  
pp. 133-142
Author(s):  
Gus Maelan Irfana ◽  
Nurul Hidayati ◽  
Sri Sunarjono
Keyword(s):  
Traffic Control ◽  
Traffic Congestion ◽  
Motor Vehicle ◽  
Positive Influence ◽  
Degree Of Saturation ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
The Road ◽  
On The Road ◽  
The City

Abstract Traffic congestion in the City of Surakarta gave rise to a phenomenal figure among motor vehicle drivers, called the Traffic Control Volunteers or abbreviated as Supeltas. This Supeltas is present on the road to help organize the movement of traffic, as happened at the Surakarta Ganesha Unsignalized Intersection. This study aims to determine the influence of the existence of Supeltas on capacity, degree of saturation, delay, and queuing opportunities that occur at the intersection. The analysis was carried out using the 1997 Indonesian Highway Capacity Manual. The results showed that the intersection without Supeltas had a capacity of 3,114.03 pcu/hour and a degree of saturation of 1.47, while the same intersection but with Supeltas had a capacity of 3,136.81 pcu/hour and a degree of saturation of 1.51. These results indicate that Supeltas has a positive influence on the performance of the intersection. Nevertheless, the degree of saturation in the location increased due to the increase in traffic volume as well as increased capacity. Keywords: unsignalized intersection, intersection performance, intersection capacity, degree of saturation  Abstrak Kemacetan lalu lintas di Kota Surakarta memunculkan sosok fenomenal di kalangan pengendara kendaraan bermotor, yang disebut Sukarelawan Pengatur Lalu Lintas atau disingkat Supeltas. Supeltas ini hadir di jalan untuk membantu mengatur pergerakan lalu lintas, seperti yang terjadi di Simpang Tak Bersinyal Ganesha Surakarta. Penelitian ini bertujuan untuk menentukan pengaruh keberadaan Supeltas terhadap kapasitas, derajat kejenuhan, tundaan, dan peluang antrian yang terjadi di simpang tersebut. Analisis dilakukan dengan menggu-nakan Manual Kapasitas Jalan Indonesia 1997. Hasil analisis menunjukkan bahwa simpang tanpa Supeltas memiliki kapasitas sebesar 3.114,03 smp/jam dan derajat kejenuhan 1,47, sedangkan simpang yang sama tetapi dengan Supeltas memiliki kapasitas sebesar 3.136,81 smp/jam dan derajat kejenuhan 1,51. Hasil tersebut menunjukkan bahwa Supeltas mempunyai pengaruh positif terhadap kinerja simpang. Meskipun demikian, derajat kejenuhan di lokasi tersebut meningkat karena bertambahnya volume lalu lintas di samping kapasitas yang juga meningkat. Kata-kata kunci: simpang tak bersinyal, kinerja simpang, kapasitas simpang, derajat kejenuhan

scholarly journals DETERMINATION OF MOST SIGNIFICANT FACTORS FOR ANALYSIS OF HIGHWAY OPERATING CONDITIONS

2017 ◽  
Vol 16 (6) ◽  
pp. 493-497
Author(s):  
M. G. Solodkaya
Keyword(s):  
Real Life ◽  
Operating Conditions ◽  
Dynamic Loads ◽  
Vehicle Speed ◽  
Vehicle Dynamic ◽  
The Road ◽  
Road Pavement ◽  
On The Road ◽  
Significant Factors ◽  
Road System

Traffic circulation on highways is a random process. Therefore automotive damage rate and, respectively, roads on which they are moving is subjected to regularities of random processes. Dynamic processes of vehicle-road interaction are determined to various extents by a host of factors that include road pavement evenness and characteristics of moving vehicles. For this reason the following task has been set: to reveal the most significant factors and mathematically correlate values of vehicle dynamic loads with a quality of road pavement and vehicle speed. Such task statement has not been solved adequately and this situation determines importance and novelty of the investigations in the given direction. While solving the mentioned task the investigations which have been carried out under real-life conditions and with the help of real-life objects are considered as the most reliable ones. However, preparation and execution of such experiments as needed significantly complicates their implementation. In this regard it looks rather expediential to combine a factorial experiment with the tests of a checked model while using ECM with stage-by-stage parameter fixation of working processes passing in “vehicle-road” system, comprehensive assessment pertaining to influence of the selected factors and selection of their optimum combination. Mathematical dependence has been obtained to evaluate influence of several external factors on optimization of vehicle dynamic load on the road. This component makes it possible to attain a simplified and adequate description of element interaction in “vehicle – road” system. While investigating influence of pavement irregularities on maximum dynamic loads on the road influence rate of the selected factors is determined in the following sequence: vehicle weight, pavement evenness and speed of transport facility.

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