## 8 Conclusions  
By analyzing video-recorded traffic incidents under heterogenous traffic conditions involving right-angled interactions and by using an observer's perception of the danger, the following are some of the main contributions of the study.  
1. The first contribution of this research is informing researchers about the importance of evasive action involved in an interaction. It has been established that interactions involving evasive action are always risky; therefore, these interactions should always be studied to calculate the road safety of an uncontrolled intersection.
2. Through an examination of road user behavior at uncontrolled intersections involving different types of vehicles, the study revealed that two-wheeler users tend to exhibit a higher degree of risk-taking behavior. Consequently, when developing and designing road infrastructure, it is essential to pay special attention to this group. Furthermore, specific training programs should be implemented to make them aware of the risks associated with such aggressive behaviors.
3. As, at present in India, it is still not clear which surrogate indicators should be used for particular conflict types and which phase of the interaction is the most important for analyzing road safety, this study will be considered as a step to guide researchers about the surrogate indicators that are significant and which phase is the most crucial while calculating safety at an uncontrolled intersection. This will save the time-consuming process of indicator selection, data extraction and the modelling process for the researchers working in this field.
4. Also, this study suggests that no individual indicator could adequately explain the perceived level of risk in an interaction. The results presented in this research indicate that the variables related to both proximity (time, distance) and the severity of the consequences (speed, deceleration rate) should be used while calculating the risk associated with uncontrolled intersections.
5. The model developed in this study can be applied to cities with similar socio-economic and demographic characteristics. However, for cities with distinct profiles, it is crucial to validate this model, as indicated in the limitations section.
6. Researchers are not required to compute surrogate indicators for every phase (i.e., preliminary, peak and end phases). As the primary phase contains the most critical information about the impending interaction, calculating surrogate measures during the initial phase will yield accurate safety results.
7. Moreover, it may be prudent, during the modeling process, to confine the scope of the surrogate analysis to events that clearly involve evasive actions, excluding interactions without such actions. This approach can significantly reduce the time-consuming data extraction and modeling efforts for researchers.  
Conceptualization, PD.; Validation, V.S.L.; Formal analysis, PD.; Writing--original draft, PD.; Supervision, U.J. All authors have read and agreed to the published version of the manuscript. This research received no external funding.  
Not applicable.  
Data Availability Statement: Data will be provided on genuine request as data is still being used in further research.  
**Conflicts of Interest**: The authors declare that they have no known competing financial interest or personal relationships that could have appeared to influence the work reported in this paper.  
**Limitations and Future Scope:** This study is limited to uncontrolled intersections of Tier 2 cities of India; therefore, further efforts should be made to develop a more generalized model that can be used for other types of cities. Also, as vehicle categories like electric vehicles, cycle rickshaws, lcv's were not used in the analysis due to their limited numbers, further efforts should be made to consider the remaining vehicle categories in the analysis.