Assessment of the effectiveness of connected vehicle weather and work zone warnings in improving truck driver safety

Raddaoui, Omar; Ahmed, Mohamed M.; Gaweesh, Sherif

doi:10.1016/j.iatssr.2020.01.001

Cited by 37 publications

(20 citation statements)

References 6 publications

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“…This is in accordance with the Federal Highway Administration (FHWA)’s guidelines recommending the use of standard and easily recognizable signs, particularly those from the MUTCD for in-vehicle warning purposes ( 17 ). It is noteworthy that earlier research showed that professional truck drivers participating in the pilot’s education and training activities perceived the warnings as easy to understand ( 13 , 18 ).…”

Section: Methodsmentioning

confidence: 97%

“…The SWIW application alerts drivers about geo-specific weather and road conditions ( 12 ). In an earlier study, these applications were found effective in bringing about the desired response from the drivers ( 13 ). The SWIW application was found to prompt participants to reduce their speed and brought about smoother braking responses when adverse weather conditions were encountered.…”

mentioning

confidence: 98%

“…The SWIW application was found to prompt participants to reduce their speed and brought about smoother braking responses when adverse weather conditions were encountered. The communication of the WZWs was found to prompt an early lane merging behavior toward the work zone open lane, in addition to lowering the speed variability when navigating the work zone advance warning area under adverse weather conditions ( 13 , 14 ). Nonetheless, in the post-study questionnaires, a sizeable portion of the participants pointed out that the pilot’s CV warnings were moderately distracting ( 13 , 15 ).…”

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confidence: 99%

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Evaluating the Effects of Connected Vehicle Weather and Work Zone Warnings on Truck Drivers’ Workload and Distraction using Eye Glance Behavior

Raddaoui

Ahmed

2020

Transportation Research Record: Journal of the Transportation R

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This study acts in support of the Wyoming Department of Transport (WYDOT) connected vehicle pilot efforts in the deployment of effective, safe, and user-centered connected vehicle (CV) applications and human machine interface (HMI) displays. This study sought to quantify the workload demands and distraction introduced by the pilot’s spot weather impact warning (SWIW) and work zone warning (WZW) applications on professional truck drivers. Using driving simulator experimentation and eye-tracking technology, the effects of exposure to the CV warnings on the participants’ glance behavior were quantified. The study revealed that the weather notifications did not invoke any notable workload or distraction to the participants. Conversely, the WZWs deteriorated the participants’ roadway scanning behavior and brought about prolonged off-road glances, and therefore could carry adverse safety impacts to drivers in real-life conditions. This was largely attributed to the fact that, unlike the weather notifications, the WZW application appeared to have over-communicated information to the participants during a short time window and under difficult driving conditions and resulted in a relatively cluttered HMI. In light of these findings, WYDOT, the leading pilot stakeholder, is amending the design of the WZW application in such a way that message flow rate is reduced and only necessary information is displayed. All in all, the methodology applied in this study was effective in uncovering the overall effects of exposure to CV warnings and therefore could be useful for evaluating workload and distraction in the context of emergent advanced driver assistance systems.

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Section: Methodsmentioning

confidence: 97%

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confidence: 98%

mentioning

confidence: 99%

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Evaluating the Effects of Connected Vehicle Weather and Work Zone Warnings on Truck Drivers’ Workload and Distraction using Eye Glance Behavior

Raddaoui

Ahmed

2020

Transportation Research Record: Journal of the Transportation R

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“…Lin et al [15] presented two online algorithms to explore the effectiveness of variable speed limit (VSL) controls on highway work-zone operations, proving VSL can yield a substantial increase in work-zone throughputs, reduction in total vehicle delays, and improve overall traffic safety in work zones. Furthermore, the effect of recent emerged technologies such as Connected Vehicles (CVs) on work zone safety has been investigated as well [16][17][18][19][20].…”

Section: Literature Reviewmentioning

confidence: 99%

Enhancing Construction Truck Safety at Work Zones: A Microscopic Traffic Simulation Study

Wang

Lee

2021

IEEE Access

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Freeway work zones are generally considered dangerous, causing hundreds of fatalities every year. One significant task of work zone safety issue is how to manage construction trucks egress from work zones. Previous studies have been conducted to improve truck egress safety at work zones, yet few proactive safety engineering countermeasures have been implemented which might have significant effects. In this study, a microsimulation network of freeway work zone interval is built and calibrated using field data in Florida. The safety impact of work zone truck egress speed is investigated based on the simulation model, and the results indicate that it is significant to provide sufficient acceleration distance for trucks when egressing. Afterwards, the truck egress system (TES) that aims at providing a sufficient gap for trucks to merging into when egress from the work zone is developed. Then, the truck egress process is simulated with different parameter settings of TES under various traffic volumes. The results show that the introduction of TES improved safety, and the optimal settings for different traffic volume scenarios are recommended afterwards considering both safety and efficiency. The findings of this study could help practitioners understand the effect of the TES before implementing it in the real field.

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“…Rear-end collision is a kind of straight-line collision in the state of car following. It refers to the situation that the head of one vehicle collides with the tail of another vehicle [5], as shown in Figure 1. represents the speed of the front vehicle; d represents the distance between the central position of the two vehicles; K refers to the transverse distance of the two vehicles.…”

Section: Safety Pre-warning System 21 Rear-end Collisionmentioning

confidence: 99%

Analysis of Rear-End Collision Accident of Urban Traffic Based on Safety Pre-Warning Algorithm

Wang¹,

Li²,

Kong³

2020

Preprint

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With the increase of per capita car ownership, traffic accidents frequently occur, in which rear-end collision accounts for 30% to 40% of the total accidents; thus, rear-end collision has become the primary factor of traffic environment deterioration. Therefore, how to improve road traffic safety and reduce the probability of rear-end collision has become a major social concern. In this study, based on the safety pre-warning algorithm, a vehicle collision model was built, and a vehicle anti-collision warning system was established. The calculation was performed based on the sample data to obtain the prediction value of vehicle collision time under different driving speeds, so as to provide drivers with effective response time and reduce the casualties and property losses caused by a vehicle collision. The experimental results showed that the accuracy rate of the pre-warning reached 80% when the speed was regarded as a variable, and the simulation results showed that the early pre-warning or delayed pre-warning rate was very low, and the timeliness rate reached 89%, which enables drivers to react quickly in the appropriate time and effectively reduces the risk of vehicle rear-end collision.

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Assessment of the effectiveness of connected vehicle weather and work zone warnings in improving truck driver safety

Cited by 37 publications

References 6 publications

Evaluating the Effects of Connected Vehicle Weather and Work Zone Warnings on Truck Drivers’ Workload and Distraction using Eye Glance Behavior

Evaluating the Effects of Connected Vehicle Weather and Work Zone Warnings on Truck Drivers’ Workload and Distraction using Eye Glance Behavior

Enhancing Construction Truck Safety at Work Zones: A Microscopic Traffic Simulation Study

Analysis of Rear-End Collision Accident of Urban Traffic Based on Safety Pre-Warning Algorithm

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