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In developing countries, heavy-duty trucks play an important role in transportation for infrastructure construction. However, frequent truck accidents cause great losses. Previous studies have mainly focused on passenger drivers; to date, little has been done to assess the driving behavior of heavy truck drivers. The overall objective of this study...
Citations
... According to the undesirable driving behaviors shown by Guangdong Province's Intelligent Supervisory System and the main influencing factors analyzed in the previous section, undesirable driving habits, such as playing with cell phones, receiving and making calls via handheld phones, smoking, not wearing a seatbelt, and controlling onboard equipment [21], are classified into three grades: serious, general, and basically safe. The absence of undesirable driving behaviors is designated a safety grade and correspondingly scored as [0-3), [3][4][5][6], [6][7][8], or (8)(9)(10) to quantify the assessment indexes, as shown in Table 1. ...
As vehicles with high accident and casualty rates within the road transportation system, engineering vehicles have been receiving much attention and emphasis in terms of safety. Accurate analyses and evaluations of risk factors in vehicle operation are imperative for enhancing the management level of engineering vehicles. This study explores the differences between various types of drivers by analyzing the driving characteristics of professional drivers. The evaluation index system is developed and quantified by integrating factors related to engineering vehicle drivers, road environment, and industry management. Additionally, the risk assessment model is developed using the error backpropagation algorithm. The optimal model is determined by comparing the number of nodes in different hidden layers, the activation function, and regularization optimization. The prediction accuracy of this model’s coefficient of determination is 0.912, indicating that the model has validity. This study is conducive to improving the safety level of engineering vehicle operation in order to reduce the rate of vehicle traffic accidents, the severity of accidents, and the consequences of losses. It also has practical application value in safeguarding social security.
... Positive driving behaviour among drivers also revealed the creation of a conducive driving environment, thus enhancing safety [5,16] . Therefore, it is vital to examine the influence of specific driving behaviours among truck drivers considering their enormous contribution to RTCs [7,17] . ...
Truck drivers significantly enhance global economic development due to the varying and bulk freight transport from
one end to another. However, their involvement in road traffic crashes usually results in significant losses of lives and
properties. There are sparse studies on the influence of driving behaviours of truck drivers on road traffic crashes,
especially in developing countries like Nigeria. A total of 880 commercial truck drivers participated and completed the
driver behaviour questionnaire. The structural equation modeling approach was used in the analysis to examine the
influence of truck drivers’ behaviours on crash involvement in Nigeria. The results showed that driving violations, driving
errors, and inattention errors were significantly associated with road traffic crash involvement, while positive driving
behaviour was negatively significant. The analysis further revealed a significant relationship between crash involvement
and sociodemographic factors, notably age and driving experience, whereas no significant association was observed with
educational background. The findings suggest crash involvement among truck drivers can be reduced by addressing
violation, error, and inattention, while positive behaviours should be encouraged through training programs and policy
formulations
... This may be because they primarily drive long distances and long hours, resulting in risky driving behaviors due to stress and fatigue. Specifically, commercial truck drivers contribute to RTAs in no small way [42,65] due to their size and role in freight transport, which usually demands long-distance travel [20]. According to Dayyabu et al. [9], truck accidents in Nigeria are usually severe. ...
The influence of risky driving behavior on road traffic accidents (RTAs) is a relationship that requires draconian measures to curtail the rising surge of road traffic accidents among commercial drivers. Any attempt to ignore this will result in continuous loss of lives and properties, thus weakening the global economy, especially in developing countries. The risky driving behaviors of commercial drivers (truck and taxi drivers) in Nigeria require a panacea due to their contribution to RTAs. The study examines the moderating effect of positive driving behavior on commercial truck and taxi drivers’ risky driving behavior and accident involvement relationship. A total of 1823 commercial vehicle drivers (943 taxi drivers and 880 truck drivers) completed the driver behavior questionnaire (DBQ), while the structural equation modeling (SEM) method was used for the analysis. The results indicated a significant moderating effect of positive driving behavior on the risky driving behavior and accident involvement relationship for both commercial truck and taxi drivers in Nigeria. Specifically, the truck drivers had a positive moderating effect, resulting in a decrease in RTAs with an increase in positive driving behavior. In contrast, the taxi drivers had a negative moderating effect. The results suggest that increasing positive driving behavior among truck drivers will enhance their safety, while taxi drivers will need more assessment to identify other risky behaviors that could expose them to more RTAs despite the positive driving behavior. This study will aid decision makers, transport trainers, and driver employers in knowing the importance of enforcing and promoting positive driving behaviors among drivers and include it in driving policy and driver training curricula towards RTA reduction.
... Utilising the characteristic values and statistics for the set of courses under analysis (illustrated in Table 1), two outlier drives were identified and labelled: calm driving (NS) and dynamic driving (DY). The nomenclature for these outlier drives was partially influenced by literature wherein a scale was employed to rate driver behaviour, with descriptors ranging from aggressive to normal to calm (cautious) [26,33,34]. The selection of drives was facilitated using a ranking methodology. ...
The results of the analysis of the operation of heavy-duty vehicles with high load capacity (tractor units with trailers) have been presented. The road transport of cargo relies heavily on vehicles of this type. Performing this role is associated with high energy consumption. Laden and unladen driving were investigated. The collected data guaranteed the constancy of numerous parameters, including the investigation of the same model vehicles under both loaded and unloaded conditions on identical roads. The assessment focused on changes in driving techniques and energy consumption during significant variations in vehicle weight. The evaluation was grounded in the measurement results of kinematic parameters, namely driving speed, acceleration, and braking deceleration. The aforementioned parameters are typically employed in analysing driving techniques (DBP—driver behaviour profile). The energy consumption of traffic was then assessed in light of the analysed changes in driving technique. The weight of the load was 24 t, increasing the weight of the vehicle by 175%. The increase in weight has caused a 68.4% increase in the energy required for driving. The change in vehicle mass has a relatively minor effect on the average, median, and modal values of driving speed. In contrast, the impact on acceleration is far greater. This is partly because the examined models of tractor units are equipped with high-power engines (420 hp). Furthermore, 81% of the roads used for transportation tasks are motorways and expressways.
... Trafc fow is complicated at entrance and exit ramps in freeways because of lane changes and the acceleration or deceleration of vehicles. Further, compared with passenger vehicles, trucks have larger vehicle size and less fexibility, which are easy to adversely afect the operation of mixed trafc fow when vehicles are ready to enter or exit ramps [19]. In view of this problem, we aim to solve it by setting reasonable truck restriction strategies at the ramps. ...
The increasing number of trucks has a negative impact pertinent to efficiency and safety concerns on the operation of mixed traffic flow along freeways, especially at freeway entrance and exit ramps. To address such issue, this study proposes a simulation-based method for truck-prohibit ramp placement along freeways. The method framework contains two parts: the first part is to generate a set of new truck restriction schemes using simulation experiments, and the second part is to evaluate the generated schemes and find out the current optimal location of truck-prohibit ramps based upon the AHP-TOPSIS method. Three patterns of evaluation indicators are utilized to estimate the performance of freeway service in terms of traffic efficiency, road safety, and accessibility. A case study of the Beijing-Hong Kong-Macao freeway within Henan Province, China, is conducted to verify the effectiveness of the proposed method. Results could provide beneficial insights on the optimal location setting of truck-prohibit ramps to enhance the entire performance of mixed traffic flow along freeways.
