## 1 Introduction  
In recent years, data science with respect to road traffic has advanced with the development of the internet/intelligence of things. Transportation authorities and car manufacturers [1] have compiled more information regarding car accidents. There has been increasing interest in using these car driving logs to predict and prevent car accidents that occur in the middle of highways and roads [2]. Still, research on traffic has focused primarily on vehicles and not on users (drivers).  
On the other hand, We focused this research mainly on user experience. This research aims to propose multiple access point robots along highways and roads to safely and conveniently provide useful information for users. The real-time communicative sensor robot system provides users with information on detours from busy roads to prevent secondary vehicle accidents [3] or allows them to select alternatives among other transportation modes in their enhanced experience. For these purposes, mobile applications (apps) simultaneously connected with open application program interfaces (APIs) become useful for providing information.  
Users can be in critical situations as they commute to work [4]. For example, a damaged section of a road [5] that is temporarily unavailable for use is one example where a detour will be required. In this case, the driver of the vehicle must know the detour route and be able to use it. Detours are also necessary when a road is under construction, or when a traffic accident occurs. In these cases, safety personnel or mannequins are arranged on the roads, yet the risk of an accident remains if the driver cannot access the bypass route in time.  
Figure 1a shows the initial draft of a safety lighting device that generates a relatively narrow, intense light beam to prevent car accidents while driving at near and distanced places. The objective of the current research is to enable the driver to determine the bypass path and be guided into that path promptly. In addition, we aim to efficiently communicate to the driver that the road is hazardous. If a road is nonfunctional, the information first flows from the sensor robot to other robots to represent the message and finally to the cloud network of the database [6]. From the database, the application programming interface (API) transfers the log message to users' mobile phones per their customized settings [7], as shown on Figure 1b.  
This article describes a convergence project of infrastructure from robot and application software \"Today's commute\" based on public API. A group of sensor robot devices that are designed for the highway/road environment have to communicate together effectively for providing information to more users. They can send transactions via TCP-IP in a wireless environment (e.g., ad-hoc network among sensor robots.) Communication is ensured through APIs and widespread networks. To support data distribution, these nodes are linked together and operate collaboratively.  
Figure 1: Scope of our research on the sensor robot and the mobile app: (**a**) first draft version of a safety sensor function module for robot communication, adapted from [3]; (**b**) our mobile app that provides information on route conditions, adapted from [6].