scholarly journals Analysis of Overtaking Maneuvers to Cycling Groups on Two-Lane Rural Roads using Objective and Subjective Risk

2020 ◽  
Vol 2674 (7) ◽  
pp. 148-160
Author(s):  
Griselda López ◽  
Ana María Pérez-Zuriaga ◽  
Sara Moll ◽  
Alfredo García
Keyword(s):  
Risk Perception ◽  
Motor Vehicle ◽  
Parallel Line ◽  
Motor Vehicles ◽  
Rural Roads ◽  
Single File ◽  
Lateral Distance ◽  
Subjective Risk ◽  
Lateral Clearance ◽  
Surrogate Measures

In Spain, the presence of cyclists’ groups riding on two-lane rural roads in a single file or in parallel line is growing. The number of overtaking maneuvers to them is also increasing. This is one of the most dangerous interactions between motor vehicles and bicycles. However, the risk of these maneuvers has not been analyzed in depth. This research analyzes the objective and subjective risk of overtaking maneuvers to cyclists’ groups. During this maneuver, the motorized vehicle overtakes the bicycles with a certain speed and lateral distance. These are the surrogate measures used to analyze the objective risk, whereas the subjective risk was analyzed based on the subjective risk perception that 10 cyclists riding instrumented bicycles (in different group configurations) indicated when every motor vehicle overtook them. Results show that the cyclists most exposed to the overtaking maneuver are those at the front and at the rear of the group. In relation to the configuration, the risk is higher in parallel lines, as the lateral clearance is lower compared with a single line. It is even higher when the overtaking maneuver is flying, which is usually performed at higher speeds and lower lateral clearance. The subjective risk perception increases with higher speed and lower lateral clearance, and is higher at the rear positions. Overtaking in which lateral distance is less than 1.5 m is perceived as the riskiest. These results provide scientific recommendations to enhance safety for cyclists’ groups, and to integrate cycling with vehicular traffic on two-lane rural roads.

Curb Parking Supply Scale with Conditions of Dynamic Traffic

2011 ◽  
Vol 71-78 ◽  
pp. 4876-4882
Author(s):  
Chao Qun Ma ◽  
Yu Ping Wang ◽  
Gang Wei
Keyword(s):  
Motor Vehicle ◽  
Motor Vehicles ◽  
Key Factors ◽  
Parking Lots ◽  
Influencing Mechanism ◽  
Traffic Capacity ◽  
Driving Speed ◽  
Resistance Function ◽  
Lateral Clearance ◽  
Service Standards

Starting with the two key factors of road breadth and the distance to intersections, the present paper analyzed the constraints of road conditions on setting curb parking lots and, by analyzing the influencing mechanism of curb parking on traffic capacity, constructed the compensation model of traffic capacity for motor vehicles on the parking road sections. Then, the paper went on to set the values of compensation coefficients for road breadth, vehicles in parking in and driving out, non-motor vehicles, and lateral clearance, so as to calculate, with the precondition of guaranteeing certain service standards, the maximal values of curb parking lots on road sections under the constraints of traffic capacity. In addition, it also constructed the driving speed model according to BRP resistance function and, via the analysis of “Friction” effect and “Blocking” effect of curb parking on traffic flows of motor vehicle lanes, measured the influence of curb parking on driving speed in order to exactly determine of maximal parking value under the condition that the minimal driving speed of motor vehicles can be ensured. Finally, for the purpose of finding the balance between dynamic and static traffic and of maximally utilizing the remaining road resources, the maximal number of curb parking lots shall be the minimal value to satisfy the constraints of road conditions, traffic capacity and driving speed.

scholarly journals Motor vehicles overtaking cyclists on two-lane rural roads: Analysis on speed and lateral clearance

2017 ◽  
Vol 92 ◽  
pp. 302-310 ◽  
Author(s):  
Carlos Llorca ◽  
Antonio Angel-Domenech ◽  
Fernando Agustin-Gomez ◽  
Alfredo Garcia
Keyword(s):  
Motor Vehicles ◽  
Rural Roads ◽  
Lateral Clearance

scholarly journals Driver Behavior When Overtaking Cyclists Riding in Different Group Configurations on Two-Lane Rural Roads

2021 ◽  
Vol 18 (23) ◽  
pp. 12797
Author(s):  
Ana María Pérez-Zuriaga ◽  
Sara Moll ◽  
Griselda López ◽  
Alfredo García
Keyword(s):  
Rural Areas ◽  
Safety Concern ◽  
Motor Vehicles ◽  
Driver Behaviour ◽  
Rural Roads ◽  
Traffic Characteristics ◽  
Rural Environments ◽  
Lateral Clearance ◽  
High Level ◽  
Group Configuration

The presence of cyclists on Spanish rural roads is ever increasing and currently frequent, and thus becoming a serious safety concern. In rural environments, the risk of a crash is higher than in rural areas. The main cause is the higher speed of motor vehicles during overtaking manoeuvres. This manoeuvre is especially challenging when cyclists ride in groups as they may change size, length, shape, and speed along their route. These variables and those related to road cross-section can influence driver behaviour when overtaking a group of cyclists. To study this, instrumented bicycles were used to ride along five road segments with different geometric and traffic characteristics. Cyclists rode individually and in groups. Overtaking was evaluated by analysing the lateral distance, the speed, and other characteristics of the manoeuvre. Wider roads presented higher lateral clearances and overtaking speeds. Narrower roads had a high opposing lane invasion but a high level of compliance with the minimum lateral clearance. A higher clearance and lower speed of overtaking vehicles was registered when cyclists rode in line. Compliance with the 1.5 m clearance depended on the group configuration, being higher when cyclists rode in line. However, overtaking cyclists riding two abreast presented more accelerative manoeuvres, especially on narrow roads.

scholarly journals Applying Machine Learning Models to First Responder Collisions Beside Roads: Insights from “Two Vehicles Hit a Parked Motor Vehicle” Data

2021 ◽  
Vol 11 (23) ◽  
pp. 11198
Author(s):  
Mohammadali Tofighi ◽  
Ali Asgary ◽  
Ghassem Tofighi ◽  
Brady Podloski ◽  
Felippe Cronemberger ◽  
...  
Keyword(s):  
Machine Learning ◽  
Police Officers ◽  
Motor Vehicle ◽  
First Responders ◽  
Weather Conditions ◽  
Motor Vehicles ◽  
Contributing Factors ◽  
Rural Roads ◽  
Vehicle Collisions ◽  
Vehicle Data

First responders including firefighters, paramedics, and police officers are among the first to respond to vehicle collisions on roads and highways. Police officers conduct regular roadside Please check if the country name is correct traffic controls and checks on urban and rural roads, and highways. Once first responders begin such operations, they are vulnerable to motor vehicle collisions by oncoming traffic, a circumstance that calls for a better understanding of contributing factors and the extent to which they affect tragic outcomes. In light of factors identified in the literature, this paper applies machine learning methods including decision tree and random forest to a subset of the National Collision Database (NCDB) of Canada that includes information on collisions between two vehicles (one in parked position) and the severity of these collisions as measured by having or not having injuries. Findings reveal that key measurable, predictable, and sensible factors such as time, location, and weather conditions, as well as the interconnections among them, can explain the severity of collisions that may happen between motor vehicles and first responders who are working alongside the roads. Analysis from longitudinal data is rich and the use of automated methods can be used to predict and assess the risk and vulnerability of first responders while responding to or operating on different roads and conditions.

Complex Solution of Ecological and Economic Problems of Traffic Jams

2019 ◽  
pp. 6-15
Author(s):  
Oleksandr M. Matsenko ◽  
Yaroslav S. Kovalev ◽  
Olena M. Tkachenko ◽  
Yaroslava V. Chorna
Keyword(s):  
Traffic Control ◽  
Motor Vehicle ◽  
Motor Vehicles ◽  
Water Runoff ◽  
Negative Consequences ◽  
Traffic Lights ◽  
Economic Problems ◽  
Traffic Jams ◽  
Economic Sphere ◽  
Flows Over Time

The article explores the congestion level in traffic of motor vehicles and its negative environmental and economic consequences in case of Kiev. The amount of pollution from traffic jams in Kiev and the number of vehicles which got into them in 2009-2018 is analyzed. The loss of earnings on the side of automobile owners from their standby are calculated with corresponding quantitative expressions found and described. For the course of the research, the methods of system-structural and comparative analysis were used for analyzing the environmental and economic problems of modern automobile systems; methods of formal logical analysis were used for substantiating the innovative infrastructure of transport routes. Separately economic and statistical methods were used in the study for trends development, structure analysis, and estimation of the influence of road congestion on the environmental and economic sphere. Pearson test has indicated a close relationship between the number of cars in Kiev and the number of values from traffic jams in environmental and economic sphere. Solutions to this problem are offered in forms of automated traffic control systems, improvisation of organizational and technical methods for the distribution of traffic flows over time, namely reverse traffic, road junctions, smart traffic lights, road extension, and the transition to alternative modes of transport. In all countries of the world there are new research methods that affect pollutants from motor vehicles. It is proved that they are forced by the recipients. In addition, landscaping can improve landscape design, reduce greenhouse gas emissions, surface water runoff and noise pollution. In this regard the policy implication of the research are aimed to eliminate the negative consequences from the use of vehicles during traffic jams, and the necessary number of trees for planting in Kiev is calculated. Key words: motor transport, congestion, traffic jam, motor vehicle, greening, compensation effect, lost profits, losses.

Auditory Icons as Impending Collision System Warning Signals in Commercial Motor Vehicles

1998 ◽  
Vol 42 (15) ◽  
pp. 1127-1131 ◽  
Author(s):  
Steven M. Belz ◽  
Gary S. Robinson ◽  
John G. Casali
Keyword(s):  
Motor Vehicle ◽  
Visual Display ◽  
Motor Vehicles ◽  
Collision System ◽  
Collision Warning ◽  
Multiple Modalities ◽  
Driver Performance ◽  
Driving Task ◽  
Side Collision ◽  
Simulated Driving Task

This simulator-based study examined the use of conventional auditory warnings (tonal, non-verbal sounds) and auditory icons (representational, non-verbal sounds), alone and in combination with a dash-mounted visual display to warn commercial motor vehicle operators of impending front-to-rear and side collision situations. Driver performance was measured in the simulated driving task via brake response time in the front-to-rear collision scenarios and via a count of accident occurrence in the side collision scenarios. For both front-to-rear and side collision scenarios, auditory icons elicited significantly improved driver performance over conventional auditory warnings. Driver performance improved when collision warning information was presented through multiple modalities.

On the spread of ultrafine particulate matter: A mathematical model for motor vehicle emissions and their effects as an asthma trigger

2021 ◽  
Author(s):  
Michelle N. Rosado-Pérez ◽  
Karen Ríos-Soto
Keyword(s):  
Mathematical Model ◽  
Ultrafine Particles ◽  
Motor Vehicle ◽  
Traveling Wave Solutions ◽  
Reaction Diffusion ◽  
Ambient Air ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Motor Vehicles ◽  
Diffusion Type

Asthma is a respiratory disease that affects the lungs, with a prevalence of 339.4 million people worldwide [G. Marks, N. Pearce, D. Strachan, I. Asher and P. Ellwood, The Global Asthma Report 2018, globalasthmareport.org (2018)]. Many factors contribute to the high prevalence of asthma, but with the rise of the industrial age, air pollutants have become one of the main Ultrafine particles (UFPs), which are a type of air pollutant that can affect asthmatics the most. These UFPs originate primarily from the combustion of motor vehicles [P. Solomon, Ultrafine particles in ambient air. EM: Air and Waste Management Association’s Magazine for Environmental Managers (2012)] and although in certain places some regulations to control their emission have been implemented they might not be enough. In this work, a mathematical model of reaction–diffusion type is constructed to study how UFPs grow and disperse in the environment and in turn how they affect an asthmatic population. Part of our focus is on the existence of traveling wave solutions and their minimum asymptotic speed of pollutant propagation [Formula: see text]. Through the analysis of the model it was possible to identify the necessary threshold conditions to control the pollutant emissions and consequently reduce the asthma episodes in the population. Analytical and numerical results from this work prove how harmful the UFEs are for the asthmatic population and how they can exacerbate their asthma episodes.

The Performance Comparison and Benefit Analysis of Speed Control System of Mine Motor Vehicle

2012 ◽  
Vol 562-564 ◽  
pp. 1058-1062
Author(s):  
Xi Zhang ◽  
Wen Chao Chen ◽  
Jie Yang ◽  
Liu Hu
Keyword(s):  
Control System ◽  
Coal Mine ◽  
Motor Vehicle ◽  
Speed Control ◽  
Dc Motor ◽  
Performance Comparison ◽  
Motor Vehicles ◽  
Motor Speed ◽  
Speed Control System ◽  
Dc Motor Drives

The DC motor has good characteristics of large starting torque and good traction and strong overload capacity, traditional battery motor vehicle often adopts DC motor drives as driving system and uses the series resistance to adjust speed. However, in actual coal production, since motor vehicles are often placed in wet, explosive and dusty environment, the speed control system of motor vehicle has strict proof and moisture requirements, however, the inherent characteristics of the DC motor make it a serious shortcoming in the coal mine production, there is an urgent need to improve the structure to meet today's actual demand for coal mine automated production. This article is in this context, to compare the DC motor speed control system with AC speed control system of the mine car, discussing today's mainstream technical programs of AC speed control system, focus on the analysis of the great differences over performance and economic efficiency of the speed control system of mine motor vehicle after adopting AC speed control system.

An Analysis of Pro-Environmental Attributes towards Adolescents in Penang Using Extended Theory of Planned Behaviour

2015 ◽  
Vol 802 ◽  
pp. 419-424
Author(s):  
Nur Khairiyah Basri ◽  
Nur Sabahiah Abdul Sukor ◽  
Sitti Asmah binti Hassan
Keyword(s):  
Moral Obligation ◽  
Theory Of Planned Behaviour ◽  
Motor Vehicle ◽  
Travel Behaviour ◽  
Motor Vehicles ◽  
Environmental Friendly ◽  
High Dependency ◽  
Environmental Attributes ◽  
Transportation Sector ◽  
The Individual

The energy consumption in transportation sector was mostly created by the individual likeness to use private motor vehicle. High dependency on private motor vehicles has contributed not only to the traffic problem but also accounted to carbon emission. This study aims to investigate the psychological factors that influencing the adolescents’ intention to be more pro-environmental. This study found that the behavioural intention was significantly influenced by the adolescents’ awareness towards consequences, attitude towards environment and public transport, the sentiment of moral obligation to change, and the perceived possibilities or difficulty to practice environmental friendly travel behaviour.

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