###### Abstract  
During road construction, granular materials for the unbound base course (UBC) and cement-bound base course (CBC) are mostly compacted by vibratory rollers. A widespread laboratory test for determining the optimal moisture content (OMC) and maximum dry density (MDD) of the mixture for installation in UBC and CBC is the Proctor test. Considering that the Proctor test does not produce any vibrations during compaction, this paper compares the Proctor test and the vibrating hammer test. The examination was conducted on UBC and CBC with varying cement content and aggregate types. All mixtures were compacted by both methods with the aim of determining the compaction and strength characteristics. The results indicated the high comparability of the two test methods for mixtures with natural aggregate in terms of MDD, OMC, density and strength characteristics (California bearing ratio (CBR) for UBC and 28-day compressive strength for CBC). For mixtures with higher cement content, the OMC difference depending on the laboratory compaction method used can be significant, so the laboratory compaction method should be chosen carefully, particularly for moisture-susceptible materials. This paper also reveals that by increasing the proportion of rubber in the mixture, the compaction and strength characteristics differ significantly due to the compaction method. Therefore, when using alternative and insufficiently researched materials, the compaction method should also be chosen carefully. c 2021 114750. [[https://doi.org/10.3390/app11114750](https://doi.org/10.3390/app11114750)]([https://doi.org/10.3390/app11114750](https://doi.org/10.3390/app11114750))  
c 2021 17 May 2021  
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**the friction of the material during compaction reduces, and aggregate grains nest more easily into the cavities in the mixture. Dynamic compaction gives the best effect in compacting cohesionless materials [4; 5; 6; 7]. [PERSON] et al. [8] tried to examine the depth of influence of intelligent compaction rollers using simulated and field data. Research has shown an increasing depth of influence for granular materials, while the influence decreases with increase in the cohesion of the compacted material. In road construction, large areas have to be uniformly compacted to the targeted degree of compaction and density. Taking into account the aforementioned, the simultaneous control of all the parameters for effective compaction tends to be a challenging task. Nowadays the continuous compaction control method (CCC), presented in more detail in [9], is widespread. CCC allows control of the compaction effect achieved in real time, based on the dynamic response of the interaction between the drum and the layer being installed [10; 11]. Most recently, published studies are presenting the developing approach of quality control and acceptance (QC/QA) based on intelligent compaction (IC) technology in road construction, which is arguably dependent on and determined by the development of sensor technology and robotic operations [3; 12; 13; 14]. In [1], the main drawbacks of existing compaction assessment methods are underlined, based on discrete manual measurements, such as the inability to provide results on the quality of the compaction of the entire road, as well as being potentially destructive of the layers and time-consuming. The authors presented a QC/QA-based IC technology with an alternative measurement based on a changing pattern of compaction meter values (CMV) in regard to the number of compaction roller passes. They reported that this is more likely to achieve the desired compaction quality under the optimal moisture content (OMC) situation. A similar approach is presented in [15], comprising the implementation of roller-integrated CCC technology on granite residual subgrades.