## 3 Vehicle Clustering Algorithms
### Vehicle Clustering Method Based on DBSCAN Algorithm
: Methodology, Software. Q.W. : Methodology, Software. G.Q. : Methodology, Software. Z.M. : Conceptualization, Resources, Supervision. All authors have read and agreed to the published version of the manuscript. This work was supported by the Key Science and Technology Projects in Transportation Industry of the Ministry of Transportation [grant No. 2021-ZD2-047]; the Shandong Transportation Science and Technology Planning Project [grant No. 2021B49]; and the Youth Innovation Science and technology support project in Colleges and Universities of Shandong Province [grant No. 2021 KJ058]. Not applicable. The authors are thankful for the support of Shandong Jianzhu University, Beijing Key Laboratory of Traffic Engineering, and Shandong Hi-speed Group Co., Ltd. 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. ## References

* (1) [PERSON]; [PERSON]; [PERSON] Stability and capacity for heterogeneous traffic flow mixed with vehicles in multiple controls. _Transp. B Transp. Dyn._**2023**, _11_, 649-682. [CrossRef]
* (2) [PERSON]; [PERSON]; [PERSON]; [PERSON] Deployment of roadside units to overcome connectivity gap in transportation networks with mixed traffic. _Transp. Res. Part C Emerg. Technol._**2020**, _111_, 496-512. [CrossRef]
* (3) [PERSON]; [PERSON]; [PERSON]; [PERSON] Autonomous vehicle kinematics and dynamics synthesis for sideslip angle estimation based on consensus kalman filter. _IEEE Trans. Control. Syst. Technol._**2022**, _31_, 179-192. [CrossRef]
* (4) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Automated vehicle sideslip angle estimation considering signal measurement characteristics. _IEEE Sens. J._**2021**, _21_, 21675-21687. [CrossRef]
* (5) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] An automated driving systems data acquisition and analytics platform. _Transp. Res. Part C Emerg. Technol._**2023**, _151_, 104120. [CrossRef]
* (6) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] HYDRO-3D: Hybrid Object Detection and Tracking for Cooperative Perception Using 3D LiDAR. _IEEE Trans. Intell. Veh._**2023**, 1-13. [CrossRef]
* (7) [PERSON]; [PERSON]; [PERSON] A cost-effective strategy for road-side unit placement in vehicular networks. _IEEE Trans. Commun._**2012**, _60_, 2295-2303. [CrossRef]
* (8) [PERSON]; [PERSON]; [PERSON]; [PERSON] Combining V2I with V2V communications for service continuity in vehicular networks. In Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 27-30 October 2019; IEEE. Piscataway, NJ, USA, 2019; pp. 201-206. * (9) [PERSON]; [PERSON]; [PERSON] Roadside unit deployment in internet of vehicles systems: A survey. _Sensors_**2022**, _22_, 3190. [CrossRef]
* (10) [PERSON]; [PERSON]; [PERSON] Gamma deployment problem in grids: Hardness and new integer linear programming formulation. _Int. Trans. Oper. Res._**2020**, _27_, 2740-2759. [CrossRef]
* (11) [PERSON]; [PERSON] Optimal two-lane placement for hybrid VANET-sensor networks. _IEEE Trans. Ind. Electron._**2015**, _62_, 7883-7891. [CrossRef]
* (12) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Performance-cost tradeoff of using mobile roadside units for V2X communication. _IEEE Trans. Veh. Technol._**2019**, _68_, 9049-9059. [CrossRef]
* (13) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] An optimal roadside unit placement method for vanet localization. In Proceedings of the GLOBECOM 2017-2017 IEEE Global Communications Conference, Singapore, 4-8 December 2017; IEEE. Piscataway, NJ, USA, 2017; pp. 1-6. * (14) [PERSON]; [PERSON] Adaptive configuration of mobile roadside units for the cost-effective vehicular communication infrastructure. _Wirel. Commun. Mob. Comput._**2019**, _2019_, 6594084. [CrossRef]
* (15) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] An optimal distribution of RSU for improving self-driving vehicle connectivity. _Comput. Mater.