scholarly journals Traffic Analysis of Specific Motorways with Different Usage Characteristics in Hungary with the Method of Section Control

2020 ◽  
Vol 13 (3) ◽  
pp. 211-245
Author(s):  
Zsolt Sándor ◽  
Ákos Monostori
Keyword(s):  
Traffic Safety ◽  
Large Scale ◽  
Traffic Analysis ◽  
Traffic Data ◽  
Speed Limits ◽  
Average Speed ◽  
The Road ◽  
Real Traffic ◽  
Made In

This article presents the result of the large-scale average speed analysis made in Hungary at two motorways in 12 different sections. During the analysis speeds of normal and reduced operations were analysed. This is the first analysis in Hungary which is based on real traffic data. Data from the enforcement system of the road usage right were used and these data were provided by the Hungarian National Toll Payment Service Plc. Results have shown that the majority of the drivers are not obey the speed limits, which has huge risk on traffic safety.

scholarly journals Road Hazard Assessment Using Pothole and Traffic Data in South Korea

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Choong Heon Yang ◽  
Jin Guk Kim ◽  
Sung Pil Shin
Keyword(s):  
Hazard Assessment ◽  
Traffic Safety ◽  
Hazard Index ◽  
Surface Damage ◽  
Road Surface ◽  
Risk Level ◽  
Traffic Data ◽  
Surface Conditions ◽  
The Road ◽  
Damage Data

Road surface conditions have a direct effect on the quality of driving, which in turn affects overall traffic flow. Many studies have been conducted to accurately identify road surface conditions using diverse technologies. However, these previously proposed methods may still be insufficient to estimate actual risks along the roads because the exact road risk levels cannot be determined from only road surface damage data. The actual risk level of the road must be derived by considering both the road surface damage data as well as other factors such as speed. In this study, the road hazard index is proposed using smartphone-obtained pothole and traffic data to represent the level of risk due to road surface conditions. The relevant algorithm and its operating system are developed to produce the estimated index values that are classified into four levels of road risk. This road hazard index can assist road agencies in establishing road maintenance plans and budgets and will allow drivers to minimize the risk of accidents by adjusting their driving speeds in advance of dangerous road conditions. To demonstrate the proposed risk hazard assessment methodology, road hazards were assessed along specific test road sections based on observed pothole and historical travel speed data. It was found that the proposed methodology provides a rational method for improving traffic safety.

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 Urban Arterial Road Optimization and Design Combined with HOV Carpooling under Connected Vehicle Environment

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Lina Mao ◽  
Wenquan Li ◽  
Pengsen Hu ◽  
Guiliang Zhou ◽  
Huiting Zhang ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Negative Impact ◽  
Traffic Volume ◽  
Road Segment ◽  
Connected Vehicle ◽  
Traffic Data ◽  
Average Speed ◽  
The Road ◽  
Arterial Road ◽  
Urban Arterial

The HOV carpooling lane offers a feasible approach to alleviate traffic congestion. The connected vehicle environment is able to provide accurate traffic data, which could optimize the design of HOV carpooling schemes. In this paper, significant tidal traffic flow phenomenon with severe traffic congestion was identified on North Beijing road (bidirectional four-lane) and South Huaihai road (bidirectional six-lane) in Huai’an, Jiangsu Province. The historical traffic data of the road segments were collected through the connected vehicle environment facilities. The purpose of this study is to investigate the effect of adopting two HOV schemes (regular HOV scheme and reversible HOV carpooling scheme) on the urban arterial road under connected vehicle environment. VISSIM was used to simulate the proposed two HOV carpooling schemes at the mentioned road segment. The simulation results showed that the reversible HOV carpooling scheme could not only mitigate the traffic congestion caused by traffic tidal phenomenon but also improve the average speed and traffic volume of the urban arterial road segment, while the regular HOV scheme may exert a negative impact on the average speed and traffic volume on the urban arterial road segment.

scholarly journals ASSESSMENT OF SPECIAL PLANS AND TECHNICAL DESIGNS WITH REGARD TO TRAFFIC SAFETY

2009 ◽  
Vol 15 (4) ◽  
pp. 411-418 ◽  
Author(s):  
Donatas Čygas ◽  
Vilma Jasiūnienė ◽  
Mantas Bartkevičius
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Road Construction ◽  
Road User ◽  
The Road ◽  
Safety Improvement ◽  
Improvement Measures ◽  
Road Safety Audit ◽  
Road Safety Audits ◽  
Made In

Traffic safety situation in Lithuania, despite the progress made in 2008, is still not good enough compared to the other European Union countries. Therefore, Lithuania implements the traffic safety improvement measures affecting all the elements of the traffic safety system “Road user‐road‐vehicle”. In 2008 Lithuania started implementing the road safety audit procedure which substantially contributes to the improvement of safety situation on Lithuanian roads. This article gives the analysis of road safety audits of special plans and technical designs for road construction and reconstruction in Lithuania, makes the analysis of the main deficiencies of plans and designs and gives recommendations for their elimination. Santrauka Eismo saugumo situacija Lietuvoje, nepaisant 2008 m. pasiektos pažangos, vis dar yra nepakankamai gera, palyginti su kitomis Europos Sąjungos šalimis. Atsižvelgiant į tai, Lietuvoje įgyvendinamos eismo saugumo gerinimo priemonės, darančios įtaką visiems eismo saugumo sistemos „Eismo dalyvis–kelias–transporto priemonė“ elementams. Lietuvoje 2008 m. buvo pradėta taikyti kelių saugumo audito procedūra, kuri prisideda prie eismo saugumo gerinimo Lietuvos automobilių keliuose. Straipsnyje pateikta Lietuvoje atliktų specialiųjų planų ir automobilių kelių tiesimo bei rekonstrukcijos techninių projektų kelių saugumo auditų analizė, išanalizuoti pagrindiniai planų ir projektų trūkumai, pateiktos rekomendacijos jiems šalinti.

scholarly journals Analysis of the advancements in real-life performance of highly automated vehicles' with regard to the road traffic safety

2018 ◽  
Vol 231 ◽  
pp. 05003 ◽  
Author(s):  
Arkadiusz Matysiak ◽  
Paula Razin
Keyword(s):  
Traffic Safety ◽  
Large Scale ◽  
Road Traffic ◽  
Real Life ◽  
Automated Vehicles ◽  
Automated Driving ◽  
The Road ◽  
Road Traffic Safety ◽  
On The Road ◽  
The Impact

The article presents the analysis of the performance of the vehicles equipped with automated driving systems (ADS) which were tested in real-life road conditions from 2015 to 2017 in the state of California. It aims at the effort to assess the impact on the road safety the continuous technological advancements in driving automation might have, based on of the first large-scale, real-life test deployments. Vehicle manufacturers and other stakeholders testing the highly automated vehicles in California are obliged to issue yearly reports which provide an insight on the test scale as well as the technology maturity. The so-called 'disengagement reports' highlight the range and number of control takeovers between the ADS and driver, which are made either based on driver's decision or information provided by the vehicle itself. The analysis of these reports allowed to investigate the development made in automated driving technology throughout the years of tests, as well as the direct or indirect influence of the external factors (e.g. various weather conditions) on the ADS performance. The results show that there is still a significant gap in reliability and safety between human drivers and highly automated vehicles which has been yet steadily decreasing due to technology advancements made while driving in the specific infrastructure and traffic conditions of California.

scholarly journals Automated Incident Detection Using Real-Time Floating Car Data

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Maarten Houbraken ◽  
Steven Logghe ◽  
Marco Schreuder ◽  
Pieter Audenaert ◽  
Didier Colle ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Large Scale ◽  
Low Cost ◽  
Field Trials ◽  
Traffic Monitoring ◽  
Sensor Data ◽  
Feasibility Trial ◽  
Incident Detection ◽  
The Road ◽  
Floating Car Data

The aim of this paper is to demonstrate the feasibility of a live Automated Incident Detection (AID) system using only Floating Car Data (FCD) in one of the first large-scale FCD AID field trials. AID systems detect traffic events and alert upcoming drivers to improve traffic safety without human monitoring. These automated systems traditionally rely on traffic monitoring sensors embedded in the road. FCD allows for finer spatial granularity of traffic monitoring. However, low penetration rates of FCD probe vehicles and the data latency have historically hindered FCD AID deployment. We use a live country-wide FCD system monitoring an estimated 5.93% of all vehicles. An FCD AID system is presented and compared to the installed AID system (using loop sensor data) on 2 different highways in Netherlands. Our results show the FCD AID can adequately monitor changing traffic conditions and follow the AID benchmark. The presented FCD AID is integrated with the road operator systems as part of an innovation project, making this, to the best of our knowledge, the first full chain technical feasibility trial of an FCD-only AID system. Additionally, FCD allows for AID on roads without installed sensors, allowing road safety improvements at low cost.

scholarly journals A Novel Vehicle Detection Framework Based on Parallel Vision

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Ying Zhuo ◽  
Lan Yan ◽  
Wenbo Zheng ◽  
Yutian Zhang ◽  
Chao Gou
Keyword(s):  
Visual Information ◽  
Large Scale ◽  
Vehicle Detection ◽  
Real Data ◽  
Autonomous Driving ◽  
Research Topic ◽  
Traffic Data ◽  
Detection Model ◽  
Real Traffic ◽  
Virtual Data

Autonomous driving has become a prevalent research topic in recent years, arousing the attention of many academic universities and commercial companies. As human drivers rely on visual information to discern road conditions and make driving decisions, autonomous driving calls for vision systems such as vehicle detection models. These vision models require a large amount of labeled data while collecting and annotating the real traffic data are time-consuming and costly. Therefore, we present a novel vehicle detection framework based on the parallel vision to tackle the above issue, using the specially designed virtual data to help train the vehicle detection model. We also propose a method to construct large-scale artificial scenes and generate the virtual data for the vision-based autonomous driving schemes. Experimental results verify the effectiveness of our proposed framework, demonstrating that the combination of virtual and real data has better performance for training the vehicle detection model than the only use of real data.

scholarly journals Impact of Average Speed Enforcement Systems on Traffic Safety: Evidence from the Roads of Lithuania

2020 ◽  
Vol 15 (3) ◽  
pp. 1-18
Author(s):  
Laura Gavėnienė ◽  
Laura Jateikienė ◽  
Donatas Čygas ◽  
Aistė Kasperavičienė
Keyword(s):  
Traffic Safety ◽  
Road Network ◽  
Good Practices ◽  
Average Speed ◽  
The Road ◽  
Foreign Countries ◽  
First Results ◽  
Speed Enforcement ◽  
Positive Effect ◽  
Selection Of

Average speed enforcement systems have been used on the roads of foreign countries for many years already, and give a positive effect on reducing accident number. The article presents good practices in the use of average speed enforcement systems in various countries and their impact on improving traffic safety. The article analyses the experience of system installation on the roads of Lithuania and the first results. The article also proposes methodologies for the selection of road sections to be enforced, the equipment used, and distribution of road sections in the road network of Lithuania. A detail analysis is given of the effect of average speed enforcement systems after their installation in three different periods on 25 road sections. The analysed data is differentiated between main and national roads. Conclusions and recommendations are given at the end of the paper for a future development of average speed enforcement systems.

The Traditional House in the Oasis of Ghadames

1976 ◽  
Vol 7 ◽  
pp. 31-40 ◽  
Author(s):  
J. Martin Evans
Keyword(s):  
Large Scale ◽  
Way Of Life ◽  
Housing Design ◽  
Social Patterns ◽  
The Road ◽  
The Social ◽  
Housing Corporation ◽  
Western Border ◽  
Made In ◽  
The Way

The large scale housing programme of the Libyan Government is changing the appearance of many of the towns of Libya. As part of this programme, the National Housing Corporation have recently adopted new standards for housing design, in order to ensure that the houses are better suited to the needs of the population in different parts of the country. During the investigations to develop new standards, the traditional housing in a number of regions of the country was studied, with a special emphasis on the way it relates to the climate and the way of life of the inhabitants. One of the most interesting traditional house forms was found in the oasis of Ghadames. My interest in the houses of Ghadames is not only in their history, their location in Libya or the climatic extremes to which they are subjected, but in the unusual form developed to provide protection from the climate, and the way that this form relates to the social patterns.Ghadames lies on the western border of Libya, close to the junction with the borders of Algeria and Tunisia. It is located about 400 km from the coast, and about 450 km from Tripoli. The journey from Tripoli can be made in a few hours by the regular internal flight or in a day by car or bus. After leaving the green coastal strip the road crosses the Jafara plain and climbs the escarpment at Nalut. From Nalut the road runs south across the steppe and desert, past the oases of Sinawn and Derj to Ghadames.

scholarly journals The Effect of Posted Speed Limit on the Dispersion of Traffic Flow Speed

2019 ◽  
Vol 11 (13) ◽  
pp. 3594 ◽  
Author(s):  
Chao Gao ◽  
Jinliang Xu ◽  
Qunshan Li ◽  
Jie Yang
Keyword(s):  
Traffic Flow ◽  
Flow Speed ◽  
Traffic Volume ◽  
Free Flow ◽  
Speed Limit ◽  
Flow State ◽  
Speed Limits ◽  
Limit Values ◽  
Average Speed ◽  
The Road

Speed dispersion is an important indicator to portray the quality of traffic flow and is closely related to the road safety operation level. In order to clarify the influence of posted speed limits on the dispersion of traffic flow speed, three sections with speed limits of 80 km/h, 100 km/h and 120 km/h on the same expressway were selected for observation, and traffic volume, speed and other parameters were collected. The characteristic speeds, such as average speed, V15 and V85, were evaluation indicators, where V15 and V85 are the speeds of the 15th and 85th percentiles measured at the feature points of the road when the traffic is in a free-flow state and the weather is good. The relationship between different posted speed limit values and the above indicators was analyzed using the statistical analysis software, SPSS. The results show that the speed limit has a high correlation with the average speed of traffic flow, V15 and V85 in free-flow state, with the coefficient of determination being as high as 0.84, 0.85 and 0.92, respectively. In the restricted flow state, the factors affecting the driver’s driving speed are mainly the decrease in driving freedom caused by the increase of traffic volume rather than the speed limit value. In a free-flow state, when the posted speed limit is increased and the average speed and the V85 also increased by approximately the same magnitude. The posted speed limit values of 80 km/h, 100 km/h and 120 km/h correspond to the 90, 88 and 97 percentile speeds of the traffic flow, respectively. The higher the speed limit is, the larger the speed difference between V15 and V85 becomes. The results of the study are very useful for rationally determining the speed limit scheme under different traffic flows.

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