scholarly journals A distributed simulation study to investigate pedestrians’ head-turning behaviour when crossing in response to automated and human-driven vehicles displaying different braking patterns

2021 ◽  
Author(s):  
wei lv ◽  
Yee Mun Lee ◽  
Chinebuli Uzondu ◽  
Ruth Madigan ◽  
Rafael Goncalves ◽  
...  
Keyword(s):  
Driving Simulator ◽  
Distributed Simulation ◽  
Initiation Time ◽  
Head Turning ◽  
Factors Affecting ◽  
The Road ◽  
Stopping Distance ◽  
Deceleration Rate ◽  
Kinematic Behaviour ◽  
Turning Behaviour

This distributed simulator study investigated pedestrians’ head-turning behaviour during a series of road crossings in a CAVE-based pedestrian simulator. Pedestrians were required to cross the road in front of an approaching vehicle, the kinematic behaviour of which was either programmed by the simulation to depict an automated vehicle (AV) or controlled by a human driver (HD), via a connected (hidden) desktop driving simulator. A within-participant experimental design was used with twenty-five pairs of participants (a pedestrian and a driver). For each trial, pedestrians had to decide whether to cross in front of the HD/AV, which was instructed (or programmed) to yield (or not) to the pedestrian. For the AV trials, two braking patterns were included: a hard-braking AV (AVHB, deceleration rate = 3.2 m/s2, stopping distance = 12 m from pedestrian) and soft-braking (AVSB, deceleration rate = 2.5 m/s2, stopping distance = 4 m from pedestrian). Pedestrians’ head-turning frequency and the change in head-turning angle, were calculated for each condition, both before a crossing was initiated, and during the actual road crossing. Results showed a significant increase in head-turning behaviour in the last 2 seconds before a crossing initiation in the yielding trials, in line with a ‘last-second check’ reported in observations of real-world crossings (Hassan, Geruschat, & Turano, 2005). The vehicle’s braking behaviour and stopping distance were the most important factors affecting pedestrians’ head-turning patterns during the crossing, with the least head-turning behaviour seen in the AVSB condition, compared with AVHB and HDB trials. This suggests that a closer stopping distance for the AV was associated with less confusion for the pedestrian, although this condition was also associated with the longest crossing initiation time. In contrast, the highest number of head-turnings were seen for the human-driven vehicle, which, on average, yielded about 40 m away from the participants, enabling a much faster crossing initiation. Overall, the shortest crossing initiation time (~ 1 sec) and highest head-turning behaviour were seen in the non-braking conditions, where participants crossed as quickly as the circumstances allowed. These results provide new insights about the use of VR simulators for understanding pedestrians’ crossing behaviour in response to different vehicle kinematics. They also extend our knowledge of pedestrian cues for the development of suitable sensors in future automated vehicles, which should help with providing a more seamless interaction between AVs and other road users in mixed traffic settings.

Research on Fidelity of Driving Simulators

2011 ◽  
Vol 308-310 ◽  
pp. 1880-1884 ◽  
Author(s):  
Pei Xin Li ◽  
Yan Ding Wei ◽  
Xiao Jun Zhou ◽  
Chun Yu Wei ◽  
Ming Xiang Xie ◽  
...  
Keyword(s):  
Control Algorithm ◽  
Driving Simulator ◽  
Steering Wheel ◽  
Dynamics Modeling ◽  
Driving Simulators ◽  
Factors Affecting ◽  
The Road ◽  
Body Dynamics ◽  
Wheel Torque ◽  
Multi Body

Through analyzing the specialty and limitation of the current driving simulators, the main factors affecting fidelity of driving simulators are summarized. Then, a new driving simulator of high fidelity based on the multi-body dynamics is proposed, with focus on the dynamics modeling and the road feel. Furthermore, a control algorithm of the road feel is designed and by the means of co-simulations in MATLAB/Simulink and ADAMS environment, the measuring steering wheel torque proves the control algorithm of road feel is reasonable. The control algorithm has been put into practice and got satisfactory results.

The IFLA Global Vision Project in Zimbabwe: Towards a Unified Field Road Map for Libraries

Mousaion ◽  
2020 ◽  
Vol 37 (2) ◽  
Author(s):  
Collence Takaingenhamo Chisita ◽  
Nyarai Patience Chibanda
Keyword(s):  
Economic Transformation ◽  
International Federation ◽  
Access To Information ◽  
Factors Affecting ◽  
The Road ◽  
Unified Field ◽  
Road Map ◽  
Library Associations ◽  
Global Vision ◽  
Library Profession

The development of libraries in any country is critical for its socio-economic transformation especially during this 21st century era where access to information and knowledge underpins development. The International Federation of Library Associations and Institutions (IFLA) launched the Global Vision Project in 2017 as a way of strengthening library throughout the world. The project has seen over 190 countries participating worldwide. For most nations, especially those in the developing countries, this has indeed created platforms for strong and united library associations that are powering literate, informed and participative societies. A number of countries in Africa including Zimbabwe have taken the initiatives to participate in the IFLA Global Vision. This article seeks to examine the challenges and opportunities   for librarians in Zimbabwe in building a united library field. It will also scrutinize the road travelled by librarians in Zimbabwe in their pursuit of a vision to reposition their libraries on the global library landscape. The   article will also study the factors affecting the development of a unified library sector in Zimbabwe. It will also explore how the national professional association Zimbabwe Library Association (ZIMLA) can contribute towards a unified library profession through collaboration. The article also proposes a strategy to enhance cooperation among librarians in Zimbabwe.

scholarly journals Understanding Urban Commercial Vehicle Driver Behaviors and Decision Making

2021 ◽  
pp. 036119812110035
Author(s):  
Giacomo Dalla Chiara ◽  
Klaas Fiete Krutein ◽  
Andisheh Ranjbari ◽  
Anne Goodchild
Keyword(s):  
Commercial Vehicle ◽  
Operating Time ◽  
Common Belief ◽  
Policy Makers ◽  
Factors Affecting ◽  
Urban Freight ◽  
The Road ◽  
Commercial Drivers ◽  
The Common ◽  
Printed Materials

As e-commerce and urban deliveries spike, cities grapple with managing urban freight more actively. To manage urban deliveries effectively, city planners and policy makers need to better understand driver behaviors and the challenges they experience in making deliveries. In this study, we collected data on commercial vehicle (CV) driver behaviors by performing ridealongs with various logistics carriers. Ridealongs were performed in Seattle, Washington, covering a range of vehicles (cars, vans, and trucks), goods (parcels, mail, beverages, and printed materials), and customer types (residential, office, large and small retail). Observers collected qualitative observations and quantitative data on trip and dwell times, while also tracking vehicles with global positioning system devices. The results showed that, on average, urban CVs spent 80% of their daily operating time parked. The study also found that, unlike the common belief, drivers (especially those operating heavier vehicles) parked in authorized parking locations, with only less than 5% of stops occurring in the travel lane. Dwell times associated with authorized parking locations were significantly longer than those of other parking locations, and mail and heavy goods deliveries generally had longer dwell times. We also identified three main criteria CV drivers used for choosing a parking location: avoiding unsafe maneuvers, minimizing conflicts with other users of the road, and competition with other commercial drivers. The results provide estimates for trip times, dwell times, and parking choice types, as well as insights into why those decisions are made and the factors affecting driver choices.

scholarly journals Investigating and Modeling of Cooperative Vehicle-to-Vehicle Safety Stopping Distance

2021 ◽  
Vol 13 (3) ◽  
pp. 68
Author(s):  
Steven Knowles Flanagan ◽  
Zuoyin Tang ◽  
Jianhua He ◽  
Irfan Yusoff
Keyword(s):  
High Reliability ◽  
Base Station ◽  
Ieee 802.11P ◽  
Packet Losses ◽  
The Road ◽  
V2v Communication ◽  
Stopping Distance ◽  
Vehicle To Vehicle ◽  
V2v Communications ◽  
On The Road

Dedicated Short-Range Communication (DSRC) or IEEE 802.11p/OCB (Out of the Context of a Base-station) is widely considered to be a primary technology for Vehicle-to-Vehicle (V2V) communication, and it is aimed toward increasing the safety of users on the road by sharing information between one another. The requirements of DSRC are to maintain real-time communication with low latency and high reliability. In this paper, we investigate how communication can be used to improve stopping distance performance based on fieldwork results. In addition, we assess the impacts of reduced reliability, in terms of distance independent, distance dependent and density-based consecutive packet losses. A model is developed based on empirical measurements results depending on distance, data rate, and traveling speed. With this model, it is shown that cooperative V2V communications can effectively reduce reaction time and increase safety stop distance, and highlight the importance of high reliability. The obtained results can be further used for the design of cooperative V2V-based driving and safety applications.

Analysis of Driver's Characteristics Based on Internet of Vehicles

2014 ◽  
Vol 505-506 ◽  
pp. 1148-1152
Author(s):  
Jian Qun Wang ◽  
Xiao Qing Xue ◽  
Ning Cao
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Classification Model ◽  
Economic Losses ◽  
Lane Changing ◽  
Internet Of Vehicles ◽  
Factors Affecting ◽  
The Road ◽  
The University ◽  
Driver’S Characteristics

The road traffic accidents caused huge economic losses and casualties, so it had been focused by the researchers. Lane changing characteristic is the most relevant characteristic with safety. The intent of lane changing was discussed. Firstly, the factors affecting the intent were analyzed, the speed satisfaction value and the space satisfaction value were proposed; then the data from the University of California, Berkeley was extracted and the number of vehicles changed lane more often and the vehicle ID were obtained; the BP neural network classification model was established, it was trained and testified by actual data. The results shown the method could predict the intent accurately.

Advance Information on the Road: A Simulator Study of the Effect of Road Markings

1976 ◽  
Vol 18 (6) ◽  
pp. 521-532 ◽  
Author(s):  
Harald Witt ◽  
Carl G. Hoyos
Keyword(s):  
Driving Simulator ◽  
Driving Behavior ◽  
Speed Profile ◽  
The Road ◽  
Positive Effects ◽  
Road Signs ◽  
Advance Information ◽  
Simulator Study ◽  
On The Road ◽  
Accident Statistics

Accident statistics and studies of driving behavior have shown repeatedly that curved roads are hazardous. It was hypothesized that the safety of curves could be improved by indicating in advance the course of the road in a more effective way than do traditional road signs. A code of sequences of stripes put on right edge of the pavement was developed to indicate to the driver the radius of the curve ahead. The main characteristic of this code was the frequency of transitions from code elements to gaps between elements. The effect of these markings was investigated on a driving simulator. Twelve subjects drove on simulated roads of different curvature and with different placement of the code in the approach zone. Some positive effects of the advance information could be observed. The subjects drove more steadily, more precisely, and with a more suitable speed profile.

Good Intentions? Willingness to Engage with Technology on the Road and in a Driving Simulator

2018 ◽  
pp. 147-176 ◽  
Author(s):  
Katie J. Parnell ◽  
Neville A. Stanton ◽  
Katherine L. Plant
Keyword(s):  
Driving Simulator ◽  
The Road ◽  
On The Road ◽  
Willingness To Engage

scholarly journals Methods for division of road traffic network for distributed simulation performed on heterogeneous clusters

2013 ◽  
Vol 10 (1) ◽  
pp. 321-348 ◽  
Author(s):  
Tomas Potuzak
Keyword(s):  
Road Traffic ◽  
Distributed Simulation ◽  
Computation Time ◽  
Traffic Network ◽  
Traffic Networks ◽  
Computing Environment ◽  
Heterogeneous Cluster ◽  
Heterogeneous Clusters ◽  
The Road ◽  
Road Traffic Networks

The computer simulation of road traffic is an important tool for control and analysis of road traffic networks. Due to their requirements for computation time (especially for large road traffic networks), many simulators of the road traffic has been adapted for distributed computing environment where combined power of multiple interconnected computers (nodes) is utilized. In this case, the road traffic network is divided into required number of sub-networks, whose simulation is then performed on particular nodes of the distributed computer. The distributed computer can be a homogenous (with nodes of the same computational power) or a heterogeneous cluster (with nodes of various powers). In this paper, we present two methods for road traffic network division for heterogeneous clusters. These methods consider the different computational powers of the particular nodes determined using a benchmark during the road traffic network division.

scholarly journals The attractiveness of public-private partnership for road projects in India

2022 ◽  
Vol 7 (2) ◽  
pp. 111-120 ◽  
Author(s):  
Mohammed Shakil Malek ◽  
Laxmansinh Zala
Keyword(s):  
Development Stage ◽  
Public Private Partnership ◽  
Public And Private ◽  
Private Partnership ◽  
Factors Affecting ◽  
The Public ◽  
The Road ◽  
Road Projects ◽  
Net Benefits ◽  
Descriptive Statistical Analysis

The objective of this paper was to have a study on the perceptions of stakeholders of Public-Private Partnership (PPP) projects for factors affecting the attractiveness of road projects in India. A questionnaire survey was conducted among major PPP project participants of Indian PPP road projects. Fifteen attractive factors were shortlisted through a literature survey for designing the questionnaire. Collected data was analyzed with factor analysis and descriptive statistical analysis. The findings resulted in three components: effectiveness of the private sector, effective time and cost management, and the public sector’s economic benefit. Eight factors were identified as highly affecting the attractiveness of PPP in Indian road projects. PPP provides ample diversity of net benefits to both the public and private sectors. During the project development stage, both sectors have to formulate decisions based on appropriate assessment criteria. Therefore, the reflection of attractive factors will assist the public-sector to select PPP in the road sector. It also helps to establish the strategy for road projects using PPP.

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