## 3 Methodology
This is due to the slower acceleration and braking of a freight truck compared to a standard passenger vehicle causing conflict, which could potentially lead to a collision or overall increased delay. The CACC technology would be a standard installation on every truck involved in a company dealing with commerce. This would ensure that even trucks from different companies would be able to coordinate through the technology. This system would connect to the other trucks in a convoy as soon as the newest truck entered and would regulate the speed and distance of the truck to maintain a consistent and uniform convoy. Although the driver would still need to adjust the wheel to account for turns and other motions, the CACC technology would lower the accumulated fatigue and stress from having to maintain speed and vigilance. If the model were advanced enough, it could even provide advanced warnings of upcoming turns observed by the leading truck. The goal of dedicated truck lanes is to enhance the sustainability of freight movement by reducing the crash rate, emissions, and travel time [16]. CACC technology can help improve safety by limiting the impact of human error with the use of autonomous technology. In addition, the fatigue level can be reduced as only the lead driver must be fully alert, while the subsequent drivers in the platoon can rest [17]. Furthermore, fuel efficiency can be improved as trucks travel at higher speeds with fewer number of stops [18]. Trucks in a platoon would drive close enough to each other for a resultant reduction in dragging force, and thus, lower fuel consumption would occur. Exclusive truck lanes are suitable for areas with a high level of congestion and provide an acceptable level of service for the trucks to travel faster and safer than without these exclusive lanes. Truck platooning reduces the headway between trucks, resulting in an increase in road capacity. These are all issues ETPL implementation would be used to solve or, at the very least, inhibit. However, the implementation can also potentially lead to negative results if applied without consideration for other perspectives. Three years after the study of this paper commenced, a research review study was performed by [19], \"Platooning of connected automated vehicles on freeways: a bird's eye view\". In it, the researchers hoped to measure the possible advantages of truck platooning strategies, similar to ETPL, as well as identify any areas of further necessary improvement or study. The review was generally positive, with several of the advantages outlined in the previous few paragraphs repeated within. However, the study also made note of several unexplored aspects. One such aspect was the model structure itself, as the review noted that most models were deterministic and infinite, meaning the platoon itself would be an eternal structure that simply changed the lead vehicle with the subsequent vehicles joining and leaving at predetermined intervals. While this could serve as a model, this is not reflective of reality, and as such, could lead to incorrect assumptions in implementation. Another aspect that was not often considered was the reaction of human drivers. While the ETPL somewhat alleviates this by forbidding entry entirely, this too has difficulties in enforcing it in reality. If the roadway stretch is sufficiently saturated enough that the ETPLs are seen as a desirable alternative, passenger vehicles will take them if available if no law enforcement is present. Even then, considering the scope of ETPL implementation across the highways, proper coverage by law enforcement may be infeasible. Finally, it was noted that the communication method for the CACC was never clearly defined and standardized. This includes details like the refresh rate for the system's calculations, the integration without being affected by other communication devices, or possible defenses from cyber-attacks and other threats. It is reviews such as this that demonstrate the importance of decision-making tools like the AHP model.