# Scenario-Based Emergency Material Scheduling Using V2X Communications
## 5 Conclusions and Future Work  
Point-to-point V2X provides us with a new way of studying the existing emergency material distribution problem. With V2X, more dynamic data of vehicles and information of disaster scenarios can be acquired, which will help decision-makers plan relief logistics scientifically. The V2X communications present a golden opportunity for real-time, precise emergency material scheduling. We introduced the SEMS with the use of V2X communications. A scenario coefficient was introduced into the modeling of emergency material scheduling. We used point-to-point V2X communication to identify the values of the scenario coefficient. The SEMS model takes into account the urgency of disaster scenarios and enhances the fairness for relief scheduling, which outperforms the Gini model and enhanced Theil models. The research provides a more comprehensive method to make an emergency material scheduling plan and reminds us that the delivery of emergency material should consider the actual situation of disaster depots, such as damage to disaster depots and secondary disaster. The modeling will also evolve with the development of technology, such as tools for collecting data and the technique of data processing.  
Nevertheless, there is still great potential for improving the performance of emergency material scheduling. First, in the evaluation of the scenario coefficient, the urgency degree of disaster areas and materials was considered; however, the evaluation indicators and their weights should be analyzed further. A more objective method should be introduced and designed to calculate the scenario coefficient. Secondly, the road damage rate was assumed to be a fixed value, whereas emergencies are usually accompanied with the secondary emergencies which may also destroy the road again. Therefore, the road damage rate should also be updated to real time. Finally, inspired by the mobile app called Earthquake Quick Report by GeTui, a big data provider in China, big data have also been applied to help in emergency rescue. With the help of such tools, we can get data more quickly and precisely, which will enhance the demand forecasting accuracy. Moreover, after related information including vehicle position, damage to the roads, and surrounding environment are collected via V2X, how to standardize the data in various formats (digit and video) scientifically is also a challenging direction in the future.  
[PERSON] is the main author of this article. She designed the experiment, constructed the main structure of this paper and was responsible for modeling. [PERSON] was in charge of the case study. [PERSON] collected relevant data and contributed to data analysis. [PERSON] was responsible for the result analysis and conclusion. [PERSON] verified the validity of the model and put forward some suggestions for improving the model and writing. [PERSON] contributed to the paper's modification and refinement. All the authors read and approved the final manuscript.  
This research was supported by the National Natural Science Foundation of China under Grant U1664264, the China Fundamental Research Funds for the Central Universities under Grant 3100102229103 and 300102229111, Xi'an Social Science Planning Fund under Grant 19Z73 and the China Innovation and Entrepreneurship Training Program for College Students under Grant 20191071245.  
The authors declare no conflict of interest.