Long-Term Safety Analysis of Hard Shoulder Running on Freeways in Germany

2021 ◽  
pp. 036119812199783
Author(s):  
Helen Waleczek ◽  
Justin Geistefeldt
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Road Safety ◽  
Traffic Management ◽  
Safety Level ◽  
Traffic Demand ◽  
Crash Data ◽  
Positive Effects ◽  
Accident Data ◽  
Critical Traffic

On freeways with high traffic demand, hard shoulder running (HSR) can be an effective traffic management measure to increase the capacity by providing an additional travel lane during peak hours. While the positive effects of HSR on traffic flow quality were documented in several studies, the implications of HSR on road safety are more ambiguous. This paper presents results of a study in which accident data for seven freeway sections with HSR on freeways in Germany were analyzed over a long period of 13 years. All investigated sections are equipped with variable speed limits. The evaluation of crash frequencies on the investigated freeway sections revealed a high safety level. By combining crash data and traffic data it is shown that crash occurrence depends on the prevailing traffic conditions, with congestion being the most critical traffic state in relation to safety. Therefore, safety improvements upstream of HSR segments can be related to the improved traffic flow and the reduction of congestion. In conclusion, the results of the investigation provide evidence that the implementation of HSR can improve road safety if state-of-the-art traffic control technology is applied and congestion can be relieved.

Substantiation of factors of influence on traffic safety

2021 ◽  
Vol 2021 (23) ◽  
pp. 205-213
Author(s):  
Andrii Vozniuk ◽  
◽  
Oksana Hulchak ◽  
Volodymyr Kaskiv ◽  
Yevheniia Shapenko ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Traffic Flow ◽  
Road Safety ◽  
Traffic Management ◽  
Transport Process ◽  
Transport Sector ◽  
Safety Risk ◽  
The Road ◽  
Factors Influencing ◽  
Factors Of Influence

Збірник наукових праць «ДОРОГИ І МОСТИ» www.dorogimosti.org.uaISSN 2524-0994. Dorogi i mosti, 2021. Issue 23ТРАНСПОРТНІ ТЕХНОЛОГІЇ21312. Annual safety report 2018. URL: https://ec.europa.eu/transport/road_safety/sites/roadsafety/files/pdf/statistics/dacota/asr2018.pdf (Last accessed: 01.12.2020) [in English].13. Monitorynh dorozhno-transportnykh pryhod na avtomobilnykh dorohakh zahalnoho korystuvannya derzhavnoho znachennya Ukrayiny za 2018 rik [Monitoring of road accidents on public roads of state importance of Ukraine in 2018] : report. DP «DerzhdorNDI». Kyiv, 2019. 73 p. [in Ukrainian].14. Dmytrychenko M.F., Lanovyy O.T., Polishchuk V.P. Systemolohiya na transporti. Tekhnolohiya naukovykh doslidzhen’ i tekhnichnoyi tvorchosti (Knyha 2) [Systemology in transport. Technology of scientific research and technical creativity (Book 2)]. Kyiv, 2007. 318 p. [in Ukrainian].15. Duran B., Odel P. Klasterniy analiz [Cluster Analysis]. Moscow, 1977. 128 p. [in Russian].16. Zhambu M. Yerarkhycheskii klaster-analiz i sootvetstviya [Hierarchical cluster analysis and correspondences]. Moscow, 1988. 342 p. [in Russian].17. Holdberg A.M., Kozlov V.S. Obshchaya teoriya statistiki [General theory of statistics]. Moscow, 1985. 367 p. [in Russian].Volodymyr Kaskiv1, Ph.D., Associate Prof., https://orcid.org/0000-0002-8074-6798Yevheniia Shapenko2, Ph.D., https://orcid.org/0000-0003-0937-9400Oksana Hulchak2, Ph.D., Associate Prof., https://orcid.org/0000-0001-8186-4529Andrii Vozniuk3,https://orcid.org/0000-0002-7611-96521 M.P. Shulgin State Road Research Institute State Enterprise – DerzhdorNDI SE, Kyiv, Ukraine2 National Transport University, Kyiv, Ukraine 3 State Road Agency of Ukraine (Ukravtodor), Kyiv, Ukraine SUBSTANTIATION OF FACTORS OF INFLUENCE ON TRAFFIC SAFETYAbsractVelocity of personal vehicles or traffic flow for a certain period of time and on a certain section of the road is the main indicator that characterizes the impact of road conditions, environment, technical condition of the car and psychophysiological factors on the driver.To evaluate the each factor impact of on the velocity, survey was conducted on the M-06Kyiv – Chop road. A cluster analysis of field observation data was performed using the Statistica 12 software, connections were established in the middle of the data set, and the obtained data were organized into certain structures. As a result of the clustering, groups of clusters that have the greatest impact on speed were identified. Determining the hierarchy of factors influencing the speed and safety of the transport process shall improve approaches for modeling traffic flow velocity dependences. The paper describes an analysis of road safety risk factors.Problem Statement. The need to modernize approaches for traffic flow prediction, traffic volume distribution on the road network, means and methods of traffic management, traffic management systems in connection with quantitative and qualitative changes in the transport sector of Ukraine.Purpose. Road safety risk factors validation and ranking.Materials and method. Mathematical modeling and cluster analysis using survey data.Results. The dependence of speed on road conditions was improved using mathematical modeling.Conclusions. The hierarchy of factors influencing the speed and safety of the transport process is determined.Keywords: analysis, cluster, safety, road, method, model, velocity.

Characteristic Parameters Identification of Macro Traffic Flow on Urban Expressway

2013 ◽  
Vol 409-410 ◽  
pp. 1209-1212
Author(s):  
Da Shan Chen
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Road Network ◽  
Large Scale ◽  
Characteristic Parameters ◽  
Traffic Demand ◽  
Urban Expressway ◽  
Back Ground ◽  
Control And Management

The macroscopic traffic flow parameters characteristic is an important research content in traffic flow theory. Urban expressway plays an important role in the urban road network. It is gradually shifting from large-scale infrastructure-oriented to refinement of traffic management. With the growing of traffic demand and much more traffic congestion and accidents, integrated active traffic management should be involved in urban expressway management on the back ground of car-road coordination. As the backbone road network, traffic flow characteristic parameters have great value for the control and management of urban expressway. Then the characteristic variables of the expressway traffic flow were identified which support meticulous management for urban expressway.

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.

scholarly journals Impact on Road Safety and Operation of Rerouting Traffic in Rural Travel Time Information System

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4145
Author(s):  
Mariusz Kiec ◽  
Carmelo D’Agostino ◽  
Sylwia Pazdan
Keyword(s):  
Information System ◽  
Travel Time ◽  
Traffic Control ◽  
Time Management ◽  
Road Safety ◽  
Road Network ◽  
Safety Level ◽  
The Road ◽  
Traffic Operation ◽  
Time Information

The Travel Time Information System (TTIS) is an Intelligent Traffic Control System installed in Poland. As is common, travel time is the only factor in the decision about rerouting traffic, while a route recommendation may consider multiple criteria, including road safety. The aim of the paper is to analyze the safety level of the entire road network when traffic is rerouted on paths with different road categories, intersection types, road environments, and densities of access points. Furthermore, a comparison between traffic operation and road safety performance was carried out, considering travel time and delay, and we predicted the number of crashes for each possible route. The results of the present study allow for maximizing safety or traffic operation characteristics, providing an effective tool in the management of the rural road system. The paper provides a methodology that can be transferred to other TTISs for real-time management of the road network.

Organization of non-traffic jam traffic at an intersection when cycle time and roadway width are limited

2020 ◽  
Keyword(s):  
Traffic Flow ◽  
Road Safety ◽  
Traffic Management ◽  
Road Network ◽  
Traffic Light ◽  
Maximum Capacity ◽  
Traffic Jam ◽  
The Road ◽  
Traffic Management System ◽  
Stop Line

In General, two problems need to be solved in the traffic management system: road safety and capacity. In this paper, it is proposed to use a calculated way to optimize the cycle of a traffic light object in order to ensure the maximum capacity of the node of the road network. The calculation method is based to determining the optimal ratio of the number of lanes intended for vehicle traffic and the duration of a cycle of the traffic light object. Keywords capacity, street and road network, traffic flow, stop line, width of the roadway

scholarly journals Validation of Simulated Safety Indicators with Traffic Crash Data

2020 ◽  
Vol 12 (3) ◽  
pp. 925 ◽  
Author(s):  
Borja Alonso ◽  
Vittorio Astarita ◽  
Luigi Dell’Olio ◽  
Vincenzo Pasquale Giofrè ◽  
Giuseppe Guido ◽  
...  
Keyword(s):  
Road Safety ◽  
Simulated Data ◽  
Real Data ◽  
Road Accidents ◽  
Traffic Crash ◽  
Crash Data ◽  
Statistical Comparison ◽  
Accident Data ◽  
Driver Distractions ◽  
The City

The purpose of this document is to validate a new methodology useful for the estimation of road accidents resulting from possible driver distractions. This was possible through a statistical comparison made between real accident data between 2016 and 2018 in the city of Santander (Spain) and simulated data resulting from the application of the methodology on two areas of study. The methodology allows us to evaluate possible collisions starting from the knowledge of vehicular trajectories extrapolated from microsimulation. Studies show that there are good correlations between the real data and the simulated data. The results obtained show that the proposed methodology can be considered reliable and, therefore, it could be of fundamental importance for designers, since it would simplify the choice between different possible intervention scenarios, determining which is the least risky in terms of road safety.

A regression model for terminal airspace delays

2017 ◽  
Vol 121 (1239) ◽  
pp. 680-692 ◽  
Author(s):  
F. Aybek Çetek ◽  
Y.M. Kantar ◽  
A. Cavcar
Keyword(s):  
Regression Model ◽  
Traffic Flow ◽  
Traffic Management ◽  
Air Traffic ◽  
Fast Time ◽  
Total Delay ◽  
Traffic Demand ◽  
Flight Operations ◽  
Entry Points ◽  
Air Traffic Flow

ABSTRACTAir Traffic Management (ATM) research generally focuses on achieving a safer, more effective and economical air traffic system. The current airspace system has become increasingly strained as the demand for air travel has steadily grown. Innovative, proactive and multi-disciplinary approaches to research are needed to solve flight congestion and delays as a consequence of this rapid growth. As a result of this growth, air traffic flow becomes more complex, especially in Terminal Airspaces (TMA) where climb and descent manoeuvres of departing and arriving flights take place around airports. As air traffic demand exceeds the capacity in a TMA, the resultant congestion leads to delays that spread all over the system. Therefore, the reduction of delays is critical for airspace designers to increase customer satisfaction and the perception of service quality. Numerous studies have been conducted to reduce delays within TMAs. This research focuses on defining the causes of delays quantitatively through statistical analysis. The first step was to create a fast-time simulation model of sample airspace for collecting delay data. After building up this model using the SIMMOD fast-time ATM simulation tool, simulation experiments were run to produce various traffic scenarios and to generate traffic delay data. The number of airports, entry points, fixes and flight operations in airspace and the probability of wide-body aircraft were considered as independent variables. The correlations between the considered variables were analysed, and the total delay data was modelled using a linear regression model. The findings of regression model present a statistical approach for airspace designers and air traffic flow planners.

Efficiency-Thoroughness Trade-Off Characteristics of Air Traffic Controllers During Tower Operations

2020 ◽  
Vol 64 (1) ◽  
pp. 1745-1749
Author(s):  
Tsubasa Takagi ◽  
Miwa Nakanishi
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Autonomous Systems ◽  
Air Traffic ◽  
Trade Off ◽  
Traffic Demand ◽  
Level Of Automation ◽  
Proactive Management ◽  
Air Traffic Controllers ◽  
Balancing Efficiency

Air traffic demand has been growing for years and many countries are trying to solve this situation by modernizing their national airspace through advanced automation. Those projects aim to provide a greater level of efficiency while ensuring a safe flow of air traffic. However, human air traffic controllers have been coping with difficult situations and unexpected events by flexibly balancing efficiency and thoroughness throughout their operations. In this study, we conducted an experiment using a simulator depicting air traffic control tower operations and analyzed the trade-off decisions made by humans under varying situations. By doing so, we proposed a model with the aim of applying the results to future air traffic management systems. This could allow those autonomous systems to make decisions that are similar to those of human preferences, which could lead to a proactive management of safety and a higher level of automation acceptance.

scholarly journals Adaptive Traffic Management System using CNN (YOLO)

2021 ◽  
Vol 9 (VI) ◽  
pp. 3726-3732
Author(s):  
B. Sowmya
Keyword(s):  
Real Time ◽  
Traffic Flow ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Object Identification ◽  
Traffic Signal ◽  
Traffic Density ◽  
Loop Control ◽  
Control Framework

The huge number of vehicles on the roadways is making congestion a significant problem. The line longitudinal vehicle waiting to be processed at the crossroads increases quickly, and the traditionally used traffic signals are not able to program it properly. Manual traffic monitoring may be an onerous job since a number of cameras are deployed over the network in traffic management centers. The proactive decision-making of human operators, which would decrease the effect of events and recurring road congestion, might contribute to the easing of the strain of automation.The traffic control frameworks in India are now needed as it is an open-loop control framework, without any input or detection mechanism. Inductive loops and sensors employed in existing technology used to detect the number of passing vehicles. The way traffic lights are adapted is highly inefficient and costly in this existing technology. The aim was to build a traffic control framework by introducing a system for detection ,which gives an input to the existing system (closed loop control system) in order to adapt to the changing traffic density patterns and to provide the controller with a crucial indication for ongoing activities. By this technique, the improvement of the signals on street is extended and thus saves time by preventing traffic congestion. This study proposes an algorithm for real-time traffic signal control, depending on the traffic flow. In reality, the features of competitive traffic flow at the signposted road crossing are used by computer vision and by machine learning. This is done by the latest, real-time object identification, based on convolutional Neural Networks network called You Look Once (YOLO). Traffic signal phases are then improved by data acquired in order to allow more vehicles to pass safely over minimal wait times, particularly the line long and the time of waiting per vehicle.This adjustable traffic signal timer is used to calculate traffic density utilizing YOLO object identification using live pictures of cameras in intervals and adjusts the signal timers appropriately, therefore decreasing the road traffic congestion, ensuring speedier transit for persons, and reducing fuel consumption. The traffic conditions will improve enormously at a relatively modest cost. Inductive loops are a viable but costly approach. This method thereby cuts expenses and outcomes quickly.

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