scholarly journals Towards AI-Based Traffic Counting System with Edge Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Duc-Liem Dinh ◽  
Hong-Nam Nguyen ◽  
Huy-Tan Thai ◽  
Kim-Hung Le
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Traffic Management ◽  
Intelligent Transportation System ◽  
Control Strategies ◽  
Low Cost ◽  
Counting System ◽  
Traffic Conditions ◽  
Flow Information ◽  
Edge Based

The recent years have witnessed a considerable rise in the number of vehicles, which has placed transportation infrastructure and traffic control under tremendous pressure. Yielding timely and accurate traffic flow information is essential in the development of traffic control strategies. Despite the continual advances and the wealth of literature available in intelligent transportation system (ITS), there is a lack of practical traffic counting system, which is readily deployable on edge devices. In this study, we introduce a low-cost and effective edge-based system integrating object detection models to perform vehicle detecting, tracking, and counting. First, a vehicle detection dataset (VDD) representing traffic conditions in Vietnam was created. Several deep learning models for VDD were then examined on two different edge device types. Using this detection, we presented a lightweight counting method seamlessly combining with a traditional tracking method to increase counting accuracy. Finally, the traffic flow information is obtained based on counted vehicle categories and their directions. The experiment results clearly indicate that the proposed system achieves the top inference speed at around 26.8 frames per second (FPS) with 92.1% accuracy on the VDD. This proves that our proposal is capable of producing high-accuracy traffic flow information and can be applicable to ITS in order to reduce labor-intensive tasks in traffic management.

scholarly journals Privacy-Preserving Smart Road-Pricing System with Trustworthiness Evaluation in VANETs

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3658
Author(s):  
Qingfeng Zhu ◽  
Sai Ji ◽  
Jian Shen ◽  
Yongjun Ren
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Location Privacy ◽  
Vehicular Ad Hoc Networks ◽  
Intelligent Transportation System ◽  
Smart Cities ◽  
Security Analysis ◽  
Geographical Location ◽  
Experimental Simulation ◽  
Control Center

With the advanced development of the intelligent transportation system, vehicular ad hoc networks have been observed as an excellent technology for the development of intelligent traffic management in smart cities. Recently, researchers and industries have paid great attention to the smart road-tolling system. However, it is still a challenging task to ensure geographical location privacy of vehicles and prevent improper behavior of drivers at the same time. In this paper, a reliable road-tolling system with trustworthiness evaluation is proposed, which guarantees that vehicle location privacy is secure and prevents malicious vehicles from tolling violations at the same time. Vehicle route privacy information is encrypted and uploaded to nearby roadside units, which then forward it to the traffic control center for tolling. The traffic control center can compare data collected by roadside units and video surveillance cameras to analyze whether malicious vehicles have behaved incorrectly. Moreover, a trustworthiness evaluation is applied to comprehensively evaluate the multiple attributes of the vehicle to prevent improper behavior. Finally, security analysis and experimental simulation results show that the proposed scheme has better robustness compared with existing approaches.

Proactive Traffic Merging Strategies for Sensor-Enabled Cars

2010 ◽  
pp. 180-199 ◽  
Author(s):  
Ziyuan Wang ◽  
Lars Kulik ◽  
Kotagiri Ramamohanarao
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Road Traffic ◽  
Control Strategies ◽  
The Road ◽  
Lack Of Information ◽  
Travel Delay ◽  
Hoc Networks

Congestion is a major challenge in today’s road traffic. The primary cause is bottlenecks such as ramps leading onto highways, or lane blockage due to obstacles. In these situations, the road capacity reduces because several traffic streams merge to fewer streams. Another important factor is the non-coordinated driving behavior resulting from the lack of information or the intention to minimize the travel time of a single car. This chapter surveys traffic control strategies for optimizing traffic flow on highways, with a focus on more adaptive and flexible strategies facilitated by current advancements in sensor-enabled cars and vehicular ad hoc networks (VANETs). The authors investigate proactive merging strategies assuming that sensor-enabled cars can detect the distance to neighboring cars and communicate their velocity and acceleration among each other. Proactive merging strategies can significantly improve traffic flow by increasing it up to 100% and reduce the overall travel delay by 30%.

Variability of traffic-flow measures across freeway lanes

1999 ◽  
Vol 26 (3) ◽  
pp. 270-281 ◽  
Author(s):  
Mark Carter ◽  
Hesham Rakha ◽  
Michel Van Aerde
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Traffic Simulation ◽  
Control Strategies ◽  
Simulation Models ◽  
System Control ◽  
Incident Detection ◽  
Detection Algorithms ◽  
Complementary Techniques ◽  
Traffic Management System

On most freeways, a number of factors interact to produce lane-to-lane variations in speed and volume which are both site and volume dependent. The following paper explores and statistically verifies these variations using detector data and a combination of complementary techniques based on data collected for 30 days at 27 detector stations in May 1994 along the Queen Elizabeth Way freeway near Toronto, Ontario. The analysis indicates that considerable volume dependencies exist at each site, and that these dependencies are site specific. In addition to their independent variations, speed and flow are also shown to interact differently across different lanes and result in different underlying speed-flow relationships. The findings are intended to be relevant to the calibration of microscopic traffic simulation models and automatic incident detection algorithms. As such, the paper does not attempt to specifically identify the underlying causes for the variations, but rather attempts to recognize the aggregated effects of these causes in a fashion that would be useful to real-time freeway traffic management system control strategies relying solely on loop detector inputs.Key words: traffic-flow theory, traffic modeling, traffic simulation, incident-detection algorithms.

The Application of Polling System in Intelligent Transportation System

2014 ◽  
Vol 644-650 ◽  
pp. 823-827
Author(s):  
Chao Li ◽  
Hong Wei Ding ◽  
Qian Lin Liu ◽  
Xu Lu
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Management ◽  
Intelligent Transportation System ◽  
Arrival Rate ◽  
Rate Theory ◽  
Polling System ◽  
Human Society ◽  
Traffic Control System ◽  
Simulation Results

With the advancement of society, transport plays an increasingly important role in human society, but more and more traffic problems are constantly plagued mankind. Aiming at the problems facing the traffic and improve the traffic situation, the polling system is applied to intelligent traffic control system in this paper. Based on the type of paper feed of the arrival rate theory, the vehicle arrives at different rates, the wait time is different. Arrival rate is high, the longer the waiting time. Then we simulate system and get the simulation results, and compare the theoretical and simulation results. Finally, the theory to practical systems is using in microprocessor hardware simulation, and actual results further validate the correctness. Through the intelligent traffic control system, a good solution to traffic jam phenomenon is got and traffic management plays an important role.

A Method for Predicting Air Traffic Network Flow by Short-Term Probability

2015 ◽  
Vol 713-715 ◽  
pp. 1500-1503
Author(s):  
Jin Feng Kong ◽  
Yu Wang
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Network Flow ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Main Task ◽  
Traffic Flow Prediction ◽  
Flow Prediction ◽  
Probability Prediction

The main task of air traffic management is making adjustments when traffic flow reaches to the maximum capacity of air traffic control. It aims to increase the use ratio of airport and airspace. Air traffic flow prediction is one important part of air traffic management. Usually, air traffic prediction is divided into deterministic flow prediction and probability prediction .We research on the probability prediction on the basis of deterministic flow prediction. By analyzing aircrafts’ experienced flight time distribution, giving experienced distribution function and computing method. The data analysis shows that the accuracy rate increased by 22%.

scholarly journals Portable Telematic System as an Effective Traffic Flow Management in Workzones

2015 ◽  
Vol 16 (2) ◽  
pp. 99-106 ◽  
Author(s):  
Marek Ščerba ◽  
Tomáš Apeltauer ◽  
Jiří Apeltauer
Keyword(s):  
Traffic Flow ◽  
Traffic Safety ◽  
Traffic Control ◽  
Traffic Management ◽  
Traffic Accidents ◽  
Intelligent System ◽  
Economic Losses ◽  
Road Users ◽  
Traffic Flow Management ◽  
Negative Impacts

Abstract Traffic infrastructure localities with temporal restrictions for example due to reconstructions, or modernization, are important aspects influencing the traffic safety and traffic flow. On the basis of our research, we can identify main factors, which generate travel time loses, and which often cause traffic accidents in bottlenecks. First of all, it is improper late merge, speeding, tailgating, lower tolerance and consideration to other road users. Nervousness and ignorance of drivers also play an important role in generation of traffic congestions, lower level of service and resulting external economic loses. One of the tools eliminating the traffic restriction negative impacts is usage of portable telematics systems. In 2011 to 2013,project ViaZONE was in progress, which was to design an intelligent system with the aim to eliminate the mentioned risks and reduce economic losses generated by traffic congestions. Using available data and information, we have proved profitability and cost-effectiveness of dynamic systems for traffic control of work zones. Regarding traffic management, the system showed some problems due to indisciplined drivers and the system proved that speeding in these hazardous road segments is a common practice which caused accidents and congestions.

New Procedure for Detector Data Screening in Traffic Management Systems

2000 ◽  
Vol 1727 (1) ◽  
pp. 127-131 ◽  
Author(s):  
Rod E. Turochy ◽  
Brian L. Smith
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Critical Role ◽  
Flow Theory ◽  
Threshold Value ◽  
Management Systems ◽  
Traffic Flow Theory ◽  
Traffic Conditions ◽  
Wide Range ◽  
Data Screening

Automated monitoring of traffic conditions in traffic management systems is of increasing importance as the sizes and complexities of these systems expand. Accurate monitoring of traffic conditions is dependent on accurate input data, yet techniques that can be used to screen data and remove erroneous records are not used in many traffic management systems. Procedures that can be used to perform quality checks on the data before their use in traffic management applications play a critical role in ensuring the proper functioning of condition-monitoring methods such as incident detection algorithms. Tests that screen traffic data can be divided into two categories: threshold value tests and tests that apply basic traffic flow theory principles. Tests that use traffic flow theory use the inherent relationships among speed, volume, and occupancy to assess data validity. In particular, a test that derives the average effective vehicle length from the observed traffic variables detects a wide range of erroneous data. A new data-screening procedure combines both threshold value tests and traffic flow theory–based tests and can serve as a valuable tool in traffic management applications.

scholarly journals Traffic Management as a Service: The Traffic Flow Pattern Classification Problem

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Carlos T. Calafate ◽  
David Soler ◽  
Juan-Carlos Cano ◽  
Pietro Manzoni
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Intelligent Transportation System ◽  
Route Planning ◽  
Classification Problem ◽  
Time Dependent ◽  
Traffic Pattern ◽  
High Data ◽  
Real Time Traffic

Intelligent Transportation System (ITS) technologies can be implemented to reduce both fuel consumption and the associated emission of greenhouse gases. However, such systems require intelligent and effective route planning solutions to reduce travel time and promote stable traveling speeds. To achieve such goal these systems should account for both estimated and real-time traffic congestion states, but obtaining reliable traffic congestion estimations for all the streets/avenues in a city for the different times of the day, for every day in a year, is a complex task. Modeling such a tremendous amount of data can be time-consuming and, additionally, centralized computation of optimal routes based on such time-dependencies has very high data processing requirements. In this paper we approach this problem through a heuristic to considerably reduce the modeling effort while maintaining the benefits of time-dependent traffic congestion modeling. In particular, we propose grouping streets by taking into account real traces describing the daily traffic pattern. The effectiveness of this heuristic is assessed for the city of Valencia, Spain, and the results obtained show that it is possible to reduce the required number of daily traffic flow patterns by a factor of 4210 while maintaining the essence of time-dependent modeling requirements.

scholarly journals Research on Speeds at Roundabouts for the Needs of Sustainable Traffic Management

2021 ◽  
Vol 13 (1) ◽  
pp. 399
Author(s):  
Slavko Davidović ◽  
Vuk Bogdanović ◽  
Nemanja Garunović ◽  
Zoran Papić ◽  
Dragan Pamučar
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Video Recording ◽  
Simulation Models ◽  
Street Network ◽  
Traffic Conditions ◽  
Geometrical Characteristics ◽  
Flow Parameters ◽  
Sustainable Implementation ◽  
Banja Luka

Knowledge of the characteristics of speed at roundabouts is very important in design procedures, simulation models, and determining the influence of these roundabouts on traffic conditions in a street network. Sustainable management in the street network means the influence of all its parts on traffic conditions and travel time. In order to reliably determine roundabouts parameters in the procedures of planning and the choice of sustainable method of traffic management, it is very important to know the values of the traffic flow parameters, particularly the speeds at the entry and exit leg, as well as in the circulatory zone. This article analyses the speed characteristics in traffic flow at urban roundabouts with different geometrical characteristics in the city of Banja Luka. The applied method for traffic data collecting in this research was the method of video recording processing, which excludes any influence on driver behavior. Furthermore, statistical analysis was conducted, which established the correlation between the achieved speeds and geometrical characteristics of the intersection. Due to roundabout characteristics, the research was focused on the access, that is, the entry leg, the segment of the circulatory zone and the exit leg. The research results showed there is a significant dependence between geometrical characteristics of certain elements of the roundabout on speeds. In the further course of the research, it was proved that the variation of speeds at the segments of roundabouts significantly affects the size of time losses and emission of pollutants, i.e., parameters based on which it is possible to objectively assess the possibility of sustainable implementation of the planned solution of roundabouts of similar geometry within the street network in cities similar to Banja Luka.

scholarly journals Penerapan Sistem Informasi Geografi pada Traffic Management Center

2011 ◽  
Vol 2 (2) ◽  
pp. 805
Author(s):  
Michael Yoseph Ricky
Keyword(s):  
Information System ◽  
Traffic Flow ◽  
Systems Analysis ◽  
Traffic Management ◽  
Field Studies ◽  
Analysis And Design ◽  
Systems Analysis And Design ◽  
Flow Monitoring ◽  
Flow Information ◽  
Software And Hardware

This study aims to analyze and design a geographic information system as a tool for traffic flow monitoring and regulation for the Traffic Management Center Polda Metro Jaya. Data was collected through field studies relating to the engineering of software and hardware. Interviews were also conducted to the relevant parties. Then it is proceeded with systems analysis and design methods. This system succeeded in helping the Traffic Management Center to find out the points which are prone to cause congestion, so that it can quickly obtain the traffic flow information. 

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