scholarly journals Analysis of the causes and effects of cyclist-pedestrian accidents in biggest Polish cities

2021 ◽  
Vol 58 (2) ◽  
pp. 115-135
Author(s):  
Marek Bauer ◽  
Romanika Okraszewska ◽  
Matthias Richter
Keyword(s):  
Weather Conditions ◽  
Mutual Interaction ◽  
Significance Tests ◽  
Traffic Incidents ◽  
Traffic Incident ◽  
System A ◽  
Chi Squared ◽  
Pedestrian Accidents ◽  
External Conditions ◽  
Perpetrators And Victims

Traffic incidents between pedestrians and cyclists result in an incomparably smaller number of victims (injured and killed) than accidents between unprotected traffic participants and other vehicles. However, such incidents cannot be underestimated, as in most cases they take place on elements of infrastructure designed for pedestrians and cyclists, and thus negatively affect the sense of safety of users in places where they should not only feel safe but also comfortable. This paper presents an analysis of such traffic incidents, aimed at recognizing the share of pedestrians and cyclists as perpetrators and also victims of accidents. Three research hypotheses were examined: that the type of infrastructure and also light and weather conditions influences the structure of perpetrators and victims, that the proportion of accidents between pedestrians and cyclists caused by pedestrians is increasing, and that the proportion of victims of accidents between pedestrians and cyclists in the pedestrian group is de-creasing. Analyses were performed based on the number of traffic incidents involving cyclists and pedestrians in the six largest Polish cities, registered in the Police Accident and Collision Records System. A total of 1,702 incidents involving 1,034 injured and killed people in years 2007-2018 were considered. Each traffic incident was considered individually, taking into account changes in perpetrator and victim proportions depending on the type and purpose of the infrastructure and external conditions, as well as variability of these proportions over subsequent years. The tools of mathematical statistics were used, including – among others - significance tests for independent proportions and Chi-squared test for trend. On the basis of the conducted statistical analyses, all research hypothesis were proved. It also confirmed that although the proportions are changing, there are still much more traffic incidents are caused by cyclists, but more victims are in group of pedestrians. The results of the research confirm the need to take action to develop effective mechanisms of mutual interaction between pedestri-ans and cyclists. Especially in view of the growing bicycle traffic in Polish cities.

scholarly journals Performance of an Advanced Intelligent Control Strategy in a Dynamic Positioning (DP) System Applied to a Semisubmersible Drilling Platform

2021 ◽  
Vol 9 (4) ◽  
pp. 399
Author(s):  
Mohamad Alremeihi ◽  
Rosemary Norman ◽  
Kayvan Pazouki ◽  
Arun Dev ◽  
Musa Bashir
Keyword(s):  
Oil And Gas ◽  
Weather Conditions ◽  
Dynamic Positioning ◽  
System Failures ◽  
Oil Drilling ◽  
System A ◽  
Advanced Control ◽  
Safety And Reliability ◽  
Drilling Operations ◽  
Shallow Seas

Oil drilling and extraction platforms are currently being used in many offshore areas around the world. Whilst those operating in shallow seas are secured to the seabed, for deeper water operations, Dynamic Positioning (DP) is essential for the platforms to maintain their position within a safe zone. Operating DP requires intelligent and reliable control systems. Nearly all DP accidents have been caused by a combination of technical and human failures; however, according to the International Marine Contractors Association (IMCA) DP Incidents Analysis, DP control and thruster system failures have been the leading causes of incidents over the last ten years. This paper will investigate potential operational improvements for DP system accuracy by adding a Predictive Neural Network (PNN) control algorithm in the thruster allocation along with a nonlinear Proportional Integral derivative (PID) motion control system. A DP system’s performance on a drilling platform in oil and gas deep-water fields and subject to real weather conditions is simulated with these advanced control methods. The techniques are developed for enhancing the safety and reliability of DP operations to improve the positioning accuracy, which may allow faster response to a critical situation during DP drilling operations. The semisubmersible drilling platform’s simulation results using the PNN strategy show improved control of the platform’s positioning.

Traffic Incident Duration Estimation Based on a Dual-Learning Bayesian Network Model

2018 ◽  
Vol 2672 (45) ◽  
pp. 196-209 ◽  
Author(s):  
Haozhe Cong ◽  
Cong Chen ◽  
Pei-Sung Lin ◽  
Guohui Zhang ◽  
John Milton ◽  
...  
Keyword(s):  
Bayesian Network ◽  
Expert Knowledge ◽  
Transportation Systems ◽  
Practical Significance ◽  
Incident Management ◽  
Highway Traffic ◽  
Traffic Incidents ◽  
Traffic Incident ◽  
Incident Duration ◽  
Traffic Incident Management

Highway traffic incidents induce a significant loss of life, economy, and productivity through injuries and fatalities, extended travel time and delay, and excessive energy consumption and air pollution. Traffic emergency management during incident conditions is the core element of active traffic management, and it is of practical significance to accurately understand the duration time distribution for typical traffic incident types and the factors that influence incident duration. This study proposes a dual-learning Bayesian network (BN) model to estimate traffic incident duration and to examine the influence of heterogeneous factors on the length of duration based on expert knowledge of traffic incident management and highway incident data collected in Zhejiang Province, China. Fifteen variables related to three aspects of traffic incidents, including incident information, incident consequences, and rescue resources, were included in the analysis. The trained BN model achieves favorable performance in several areas, including classification accuracy, the receiver operating characteristic (ROC) curve, and the area under curve (AUC) value. A classification matrix, and significant variables and their heterogeneous influences are identified accordingly. The research findings from this study provide beneficial reference to the understanding of decision-making in traffic incident response and process, active traffic incident management, and intelligent transportation systems.

Highway Traffic Incident Detection and Optimal Sensor Placement Layout

2013 ◽  
Vol 650 ◽  
pp. 460-464 ◽  
Author(s):  
Lan Bai ◽  
Qi Sheng Wu ◽  
Mei Yang ◽  
Lan Xin Wei ◽  
Bo Li ◽  
...  
Keyword(s):  
Road Traffic ◽  
Detection Algorithm ◽  
Simulation Software ◽  
Incident Management ◽  
Incident Detection ◽  
Highway Traffic ◽  
Traffic Incidents ◽  
Traffic Incident ◽  
Before And After ◽  
Traffic Incident Management

Traffic incident detection is critical to the core of the traffic incident management process. In order to study the highway traffic incident detection algorithm and the layout spacing of the fixed detector, under the assumptions of the linear traffic flow, to detect traffic incidents as the goal, using TransModeler traffic simulation software to simulate the highway traffic conditions from Xian to Hanzhong, getting the changes in the macroscopic traffic parameters before and after the traffic incident, and analysis of the data, finally puts forward the optimal layout of spacing of basic road traffic incident detection.

Diagnosing Propulsion Systems of a Vessels in Varying Marine Conditions

2013 ◽  
Vol 199 ◽  
pp. 9-14
Author(s):  
Adam Charchalis
Keyword(s):  
Gas Turbine ◽  
Weather Conditions ◽  
Gas Turbine Engine ◽  
Propulsion Systems ◽  
Turbine Engine ◽  
External Conditions ◽  
The Way

The paper presents some problems of carrying out measurements of energetic characteristics and vessels performance in the conditions of sea examinations. We present the influence of external conditions in the change of vessels hull resistance and propeller characteristics as well as the influence of weather conditions in the results of examinations and characteristics of gas turbine engine. We also discuss the manner of reducing the results of measurements to the standard conditions. We present the way of preparing propulsion characteristics and the analysis of examination uncertainty for the measurement of torque.

scholarly journals Sensing Urban Transportation Events from Multi-Channel Social Signals with the Word2vec Fusion Model

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4093 ◽  
Author(s):  
Hao Lu ◽  
Kaize Shi ◽  
Yifan Zhu ◽  
Yisheng Lv ◽  
Zhendong Niu
Keyword(s):  
Single Channel ◽  
Low Cost ◽  
Transportation Systems ◽  
Urban Traffic ◽  
Traffic Information ◽  
Social Signals ◽  
Fusion Model ◽  
Online Data ◽  
Traffic Incidents ◽  
Traffic Incident

Social sensors perceive the real world through social media and online web services, which have the advantages of low cost and large coverage over traditional physical sensors. In intelligent transportation researches, sensing and analyzing such social signals provide a new path to monitor, control and optimize transportation systems. However, current research is largely focused on using single channel online social signals to extract and sense traffic information. Clearly, sensing and exploiting multi-channel social signals could effectively provide deeper understanding of traffic incidents. In this paper, we utilize cross-platform online data, i.e., Sina Weibo and News, as multi-channel social signals, then we propose a word2vec-based event fusion (WBEF) model for sensing, detecting, representing, linking and fusing urban traffic incidents. Thus, each traffic incident can be comprehensively described from multiple aspects, and finally the whole picture of unban traffic events can be obtained and visualized. The proposed WBEF architecture was trained by about 1.15 million multi-channel online data from Qingdao (a coastal city in China), and the experiments show our method surpasses the baseline model, achieving an 88.1% F1 score in urban traffic incident detection. The model also demonstrates its effectiveness in the open scenario test.

scholarly journals Logical Structure of Actions to Reduce the Impacts of Traffic Incidents

2021 ◽  
Vol 11 (4) ◽  
pp. 5909-5927
Author(s):  
Marina Leite De Barros Baltar ◽  
Victor Hugo Souza De Abreu ◽  
Andrea Souza Santos
Keyword(s):  
Sustainable Development ◽  
Intelligent Transportation System ◽  
Logical Structure ◽  
Incident Management ◽  
Urban Context ◽  
Traffic Incidents ◽  
The Sustainable Development ◽  
Traffic Incident ◽  
Important Concern ◽  
Traffic Incident Management

Traffic incidents (such as broken-down vehicles, accidents, flat tires and other) constitute an important concern in the urban context, impacting the sustainable development. Thus, currently, the proposition of efficient traffic incident management systems has been encouraged to re-establish road safety and restore the network's traffic capacity. Thus, this paper aims to investigate the main impacts of traffic incidents and elaborate a logical structure of actions that should be employed to improve their management. The results show that many impacts can be identified in the three spheres of sustainable development and improvement actions must accelerate responses to emergencies, invest in Intelligent Transportation System (ITS), develop urban planning with a focus on more roads secure and enforce existing laws and regulations.

scholarly journals COMBINED NONPARAMETRIC CHI-SQUARED AND BINOMIAL STATISTICAL TEST ON TRUCK TRAFFIC VOLUME CHANGES IN CANADIAN PROVINCIAL HIGHWAY NETWORK

Transport ◽  
2019 ◽  
Vol 34 (1) ◽  
pp. 103-114 ◽  
Author(s):  
Hyuk-Jae Roh ◽  
Satish Sharma
Keyword(s):  
Statistical Tests ◽  
Weather Conditions ◽  
Statistical Test ◽  
Truck Traffic ◽  
Long Distance ◽  
Type Distribution ◽  
Weigh In Motion ◽  
Highway Network ◽  
Chi Squared ◽  
Nonparametric Statistical

This paper examines the effect of weather conditions on truck type distribution using combined nonparametric chi-squared and binomial probability statistical tests. Influence of the winter conditions on truck type distribution is investigated in this paper by classifying trucks into single-unit trucks, single-trailer, and multi-trailer units. The investigation is based on 5 years Weigh-In-Motion (WIM) traffic data collected from Alberta provincial highway network in Canada. The WIM data is collected from six WIM sites located on Highway 2, Highway 2A, Highway 3, Highway 16 and Highway 44. The objective of this study is to investigate the association of three truck type distribution with month and season depending on weather conditions by means of nonparametric statistical test. The statistical results indicate that the variation of truck type distribution is influenced by type of highway facility, such as regional commuter roads and rural long distance highways. The season of the year (winter and non-winter) may also affect the truck type distribution on some types of roads. Findings of this study can benefit highway agencies in developing programs and policies related to efficient monitoring of truck traffic and maintaining highway network throughout the year.

scholarly journals Microgrid analysis using HOMER: a case study

DYNA ◽  
2018 ◽  
Vol 85 (207) ◽  
pp. 129-134 ◽  
Author(s):  
David Restrepo ◽  
Bonie Restrepo ◽  
Luz Adriana Trejos-Grisales
Keyword(s):  
Renewable Energy Sources ◽  
Energy Systems ◽  
Weather Conditions ◽  
Photovoltaic System ◽  
Energy Sources ◽  
System A ◽  
Current Energy ◽  
Local Weather ◽  
Economic Studies

The integration of renewable energy sources to create microgrids is drawing growing interest to address current energy-related challenges around the globe. Nevertheless, microgrids must be analyzed using specialized tools that allow to conduct operation, technical and economic studies. In that regard, this paper presents a case study in which the software HOMER Energy Pro was implemented to design and analyze the performance of a microgrid. Such microgrid comprises a photovoltaic system, a wind system and a diesel plant. The parameters of the energy systems are based on information about local weather conditions available in databases. Finally, this analysis is performed under two conditions: stand-alone and grid-tied.

scholarly journals Increase in energy efficiency of a system a car wheel - a paving

2019 ◽  
Vol 104 ◽  
pp. 01004
Author(s):  
Stanislav Gorin ◽  
Sergey Vyalov ◽  
Pavel Kharlamov ◽  
Oleg Meleshko ◽  
Sergey Nosachev
Keyword(s):  
Mathematical Model ◽  
Energy Efficiency ◽  
Negative Effects ◽  
Dynamic Balancing ◽  
Optimal Position ◽  
Balance Condition ◽  
System A ◽  
External Conditions ◽  
Geometrical Form ◽  
Conditions Of Work

One of the negative effects arising in the course of operation of a vehicle wheel is out-of-balance condition. Disbalance of a car wheel can be caused by various reasons, including change in geometrical form of the rim, violation of norms of operation, non-optimal position of the tire in relation to the rim. Change of geometry is caused by operation of the rim, casual reasons, as well as influence of external conditions of work and rim storage. Latent faults, construction overload, etc. belong to casual reasons. Results of the experiments fulfilled show that in most cases violation of the geometrical form of a rim, which sometimes cannot be defined by eye is the reason of increase in disbalance of a wheel. A stand for control of geometry of rim and a device allowing to perform "optimization" of car wheels on the basis of mathematical model of process of optimization of tire position in relation to the rim in the conditions of dynamic balancing of wheels have been developed.

A Study on Freeway Traffic Incident Duration and Improvement Countermeasures

2013 ◽  
Vol 411-414 ◽  
pp. 2752-2757
Author(s):  
Jing Ru Gao
Keyword(s):  
Incident Management ◽  
Key Factors ◽  
Traffic Incidents ◽  
Freeway Traffic ◽  
Emergency Rescue ◽  
Traffic Incident ◽  
Incident Duration ◽  
Clearing Time ◽  
Discovery Time ◽  
Traffic Incident Management

Reducing the duration of freeway traffic incident plays a significant role in improving the efficiency of freeway transportation. The duration of freeway traffic incidents is composed of four stages: the discovery time, response time, clearing time and the recovery time. Through analyzing the key factors influencing different duration stations, this article studies how factors including incident severity, aid resource allocation and emergency rescue preplan influence the duration, and pointedly propose countermeasures to reduce freeway traffic incidents duration. The conclusion of this article provides reference for improving the efficiency in freeway traffic incident management. Key words: traffic incident; duration; factor analysis; improve countermeasures

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