Truck drivers' ability to locate targets briefly seen in mirrors

2006 ◽  
Author(s):  
James W. Jenness ◽  
Robert E. Llaneras ◽  
Richard W. Huey ◽  
Paul S. Rau
Keyword(s):  
Truck Drivers

scholarly journals Evaluation of Intelligent Transport Systems Used in Urban Agglomerations and Intercity Roads by Professional Truck Drivers

2021 ◽  
Vol 13 (5) ◽  
pp. 2935
Author(s):  
Natalia Drop ◽  
Daria Garlińska
Keyword(s):  
Truck Drivers ◽  
Point Of View ◽  
Transport Systems ◽  
Emergency Vehicle ◽  
Intelligent Transport Systems ◽  
Traffic Lights ◽  
Intelligent Transport ◽  
Systems Research ◽  
Variable Content ◽  
The City

Using intelligent transport systems in cities is gaining popularity. The fundamental aim of their existence is to improve safety and traffic flow and prevent congestion in city centres. All people moving around the city, such as public transport passengers, as well as truck and emergency vehicle drivers and drivers of passenger vehicles, are users of intelligent transport systems. Research which was carried out for the article entirely concerns functioning and utility of intelligent transport systems from truck drivers’ experience. The main aim of the research was to evaluate services and tools within intelligent transport systems in European cities which are visited by Polish truck drivers. Our research indicates that most drivers (almost 98%) stated that they find intelligent transport systems useful and 92.5% of interviewed pointed that intelligent transport systems help with their everyday work duties. Of all the tools in the survey drivers agreed that variable content signs, accommodative traffic lights, and extra road illumination have most influence in road safety. Identifying the most useful and helpful tools of intelligent transport systems will allow to define their preferred development directions from truck drivers’ point of view.

scholarly journals Risk factors associated with truck-involved fatal crash severity: Analyzing their impact for different groups of truck drivers

2020 ◽  
Author(s):  
Yalong Yuan ◽  
Min Yang ◽  
Yanyong Guo ◽  
Soora Rasouli ◽  
Zuoxian Gan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Truck Drivers ◽  
Crash Severity ◽  
Factors Associated ◽  
Fatal Crash

Identification of Potential Freight Parking Locations in Urban Areas

2021 ◽  
pp. 036119812110130
Author(s):  
Glenn Vorhes ◽  
Ernest Perry ◽  
Soyoung Ahn
Keyword(s):  
United States ◽  
Information System ◽  
Satellite Imagery ◽  
Urban Areas ◽  
The United States ◽  
Truck Drivers ◽  
Short List ◽  
Automated Processes ◽  
Parking Facilities ◽  
Urban Sites

Truck parking is a crucial element of the United States’ transportation system as it provides truckers with safe places to rest and stage for deliveries. Demand for truck parking spaces exceeds supply and shortages are especially common in and around urban areas. Freight operations are negatively affected as truck drivers are unable to park in logistically ideal locations. Drivers may resort to unsafe practices such as parking on ramps or in abandoned lots. This report seeks to examine the potential parking availability of vacant urban parcels by establishing a methodology to identify parcels and examining whether the identified parcels are suitable for truck parking. Previous research has demonstrated that affordable, accessible parcels are available to accommodate truck parking. When used in conjunction with other policies, adaptation of urban sites could help reduce the severity of truck parking shortages. Geographic information system parcel and roadway data were obtained for one urban area in each of the 10 Mid America Association of Transportation Officials region states. Area and proximity filters were applied followed by spectral analysis of satellite imagery to identify candidate parcels for truck parking facilities within urban areas. The automated processes created a ranked short list of potential parcels from which those best suited for truck parking could be efficiently identified for inspection by satellite imagery. This process resulted in a manageable number of parcels to be evaluated further by local knowledge metrics such as availability and cost, existing infrastructure and municipal connections, and safety.

The association between crashes and safety-critical events: Synthesized evidence from crash reports and naturalistic driving data among commercial truck drivers

2021 ◽  
Vol 126 ◽  
pp. 103016
Author(s):  
Miao Cai ◽  
Mohammad Ali Alamdar Yazdi ◽  
Amir Mehdizadeh ◽  
Qiong Hu ◽  
Alexander Vinel ◽  
...  
Keyword(s):  
Truck Drivers ◽  
Critical Events ◽  
Safety Critical ◽  
Naturalistic Driving

VO 2peak and 24‐hour sleep, sedentary behaviour and physical activity in Australian truck drivers

2021 ◽  
Author(s):  
Nicholas D. Gilson ◽  
Gregore I. Mielke ◽  
Jeff S. Coombes ◽  
Natan Feter ◽  
Emily Smith ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Truck Drivers

scholarly journals Shorter sleep duration is associated with potential risks for overwork-related death among Japanese truck drivers: use of the Karoshi prodromes from worker’s compensation cases

2021 ◽  
Author(s):  
Tomohide Kubo ◽  
Shun Matsumoto ◽  
Takeshi Sasaki ◽  
Hiroki Ikeda ◽  
Shuhei Izawa ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Mixed Model ◽  
Response Rate ◽  
Multiple Logistic Regression Analysis ◽  
Truck Drivers ◽  
Work Schedule ◽  
Multiple Logistic Regression ◽  
Regression Analyses ◽  
Potential Risks ◽  
Night Shifts

Abstract Purpose We aimed to cross-sectionally investigate how work and sleep conditions could be associated with excessive fatigue symptoms as an early sign of Karoshi (overwork-related cerebrovascular and cardiovascular diseases; CCVDs). Methods We distributed a questionnaire regarding work, sleep, and excessive fatigue symptoms to 5410 truck drivers, as the riskiest occupation for overwork-related CCVDs, and collected 1992 total samples (response rate: 36.8%). The research team collected 1564 investigation reports required for compensation for Karoshi. Of them, 190 reports listed the prodromes of Karoshi, which were used to develop the new excessive fatigue symptoms inventory. Results One-way analyses of variance showed that the excessive fatigue symptoms differed significantly by monthly overtime hours (p < 0.001), daily working time (p < 0.001), work schedule (p = 0.025), waiting time on-site (p = 0.049), number of night shifts (p = 0.011), and sleep duration on workdays (p < 0.001). Multivariate mixed-model regression analyses revealed shorter sleep duration as the most effective parameter for predicting excessive fatigue symptoms. Multiple logistic regression analysis confirmed that the occurrences of CCVDs were significantly higher in the middle [adjusted ORs = 3.56 (1.28–9.94)] and high-score groups [3.55 (1.24–10.21)] than in the low-score group. Conclusion The findings suggested that shorter sleep duration was associated more closely with a marked increase in fatigue, as compared with the other work and sleep factors. Hence, ensuring sleep opportunities could be targeted for reducing the potential risks of Karoshi among truck drivers.

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