Impacts of large-scale truck platooning on Dutch highways

Yang, Dujuan; Kuijpers, Anique; Dane, Gamze; Sande, Tom van der

doi:10.1016/j.trpro.2018.12.212

Cited by 23 publications

(9 citation statements)

References 11 publications

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“…A study from 300 male truck drivers in the Rhône region of France showed that failing to wear an adequate seatbelt was one of the major factors contributing to their particular injury severities in traffic crashes [35]. A simulation result of the A15 corridor in the Netherlands showed that large-scale truck platooning had an obvious impact on traffic flow efficiency and safety [36]. Since there are a large proportion of freeways in mountainous areas in European countries like Germany, Italy, Switzerland, and Luxembourg, the proposed PPO model can thus be used to examine the relationship between driver, vehicle, roadway and environment variables and injury severity of crashes involving large trucks on the mountainous areas of those countries.…”

Section: Discussionmentioning

confidence: 99%

Interpreting risk factors for truck crash severity on mountainous freeways in Jiangxi and Shaanxi, China

Wang

Luo

Chen

2019

Eur. Transp. Res. Rev.

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The occurrence and severity of truck crashes generally involve complex interactions among factors correlated to driver characteristics, vehicle attributes, roadway geometry and environment conditions. Thus, the elucidation of the significance of these potential contributory factors is critical when developing safety improvement countermeasures. To this end, data from a total of 1175 crashes involving at least one large truck and collected between 2010 and 2015 from two typical freeways in mountainous areas in Jiangxi and Shaanxi (China), were analyzed using a partial proportional odds model to determine the significant risk factors for injury severity of these crashes. Fourteen total explanatory variables, including the age of the driver, seatbelt status, number of vehicle involved, type of transport, freight conditions, brake system status, disregarding speed limit or not, following distance, horizontal roadway alignment, vertical roadway alignment, seasons, day of week, time of crash, and weather were found to significantly affect the severities of the truck crashes. In addition, old drivers, involvement of multiple vehicles, failure to wear seatbelts, overloading, speeding, brake failure and risky following behavior, curve section, seasons (summer, autumn and winter), nighttime period, and adverse weather conditions were also found to significantly increase the likelihood of injury and fatality crashes. Taken together, these findings may serve as a useful guide for developing legislation and technical countermeasures to ensure truck safety on freeways in mountainous regions, particularly in the context of a developing country.

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Section: Discussionmentioning

confidence: 99%

Interpreting risk factors for truck crash severity on mountainous freeways in Jiangxi and Shaanxi, China

Wang

Luo

Chen

2019

Eur. Transp. Res. Rev.

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“…Calvert et al report negative effects on traffic flow under congested conditions when platoons are introduced on a 56.6 km trans-European corridor in the Netherlands ( 15 ). Yang et al use microscopic simulations near a merging and a diverging area to analyze the impact of truck platooning on traffic efficiency and safety ( 22 ). Their findings indicate that truck platooning increases traffic flow even in high traffic intensity.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating Traffic Efficiency and Safety by Varying Truck Platoon Characteristics in a Critical Traffic Situation

Faber

Sharma

Snelder

et al. 2020

Transportation Research Record: Journal of the Transportation R

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Truck platooning is the application of cooperative adaptive cruise control where multiple trucks are electronically linked using vehicle-to-vehicle communication. Although truck platoons might bring fuel savings and emission reductions, their interactions with surrounding traffic and resulting impact on traffic operations and safety are not fully understood. The objective of this paper is to evaluate traffic efficiency and safety in a critical traffic situation when truck platoons are introduced in the system. This paper presents a case study of a merging section, located on A15 motorway, near the port of Rotterdam in the Netherlands. We consider two scenarios: platoons on a mainline carriageway and platoons merging onto a mainline carriageway. We simulate the movements of truck platoons in a microscopic traffic simulator. Longitudinal and lateral controllers for truck platoons, proposed in this paper, can ensure their collision-free, string-stable, and smooth driving behavior. Simulation experiments are conducted by varying platoon characteristics such as market penetration, length, intra-platoon headway, platoon speed, and their ability to create a gap for changing lanes. The results suggest that truck platoons on the mainline carriageway may be detrimental to traffic efficiency and safety in high traffic intensity, whereas truck platoons originating from an on-ramp produce limited impacts. Further, we conduct both local and global sensitivity analyses to analyze the impact of platoon characteristics on traffic efficiency and safety. The findings emphasize that uncertainty in traffic efficiency and safety strongly depends on the interactions among platoon characteristics, traffic demand, and traffic scenarios.

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“…Studies of HCV platooning have considered platoons of two to five vehicles ( 7 , 50–52 ). Ramezani et al ( 7 ), for instance, investigated platoons of five HCVs on test freeways and assumed that, if necessary, the platooned HCVs could easily leave or join the platoon for the entire journey.…”

Section: Model Developmentmentioning

confidence: 99%

Operational Impact of the Through-Traffic Signal Prioritization for Heavy Commercial Vehicle Platooning on Urban Arterials

Chowdhury

Park

Gingerich

2022

Transportation Research Record: Journal of the Transportation R

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This study investigated the operational impact of heavy commercial vehicle (HCV) platooning on urban arterials. HCV platooning is an important application of vehicle-to-vehicle (V2V) technology, with urban arterials facilitating an essential component of HCV movements when picking up and delivering goods. HCV platooning has the potential to reduce fuel consumption and emissions. Moreover, the increasing HCV driver shortage problem can be alleviated if the vehicle following behind a lead vehicle can function without a driver by using autonomous technology enabling Society of Automotive Engineers Level 4 or higher. PTV VISSIM was used to develop a set of micro-simulation models that investigated the impact of traffic signal priority (TSP) and low levels (0%, 5%, and 10%) of HCV platooning. The performance measures include travel time and the number of stops. With the existing traffic control system, HCV platooning increased travel time and increased the number of stops for all vehicles including passenger cars and HCVs. TSP with 5% HCV platooning improved travel time and decreased the number of stops for all vehicles. TSP with 10% HCV platooning, however, only decreased travel time and the number of stops for passenger vehicles. The results suggest that a higher penetration rate of HCV platooning may create significant delays and overwhelm the traffic system even with the assistance of TSP. The findings of this study highlight the potential for TSP to mitigate the impact of HCV platooning on traffic congestion. However, the TSP system may not be a panacea that works for all traffic compositions.

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Impacts of large-scale truck platooning on Dutch highways

Cited by 23 publications

References 11 publications

Interpreting risk factors for truck crash severity on mountainous freeways in Jiangxi and Shaanxi, China

Interpreting risk factors for truck crash severity on mountainous freeways in Jiangxi and Shaanxi, China

Evaluating Traffic Efficiency and Safety by Varying Truck Platoon Characteristics in a Critical Traffic Situation

Operational Impact of the Through-Traffic Signal Prioritization for Heavy Commercial Vehicle Platooning on Urban Arterials

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