Welcome to Francis Academic Press

Academic Journal of Computing & Information Science, 2024, 7(5); doi: 10.25236/AJCIS.2024.070503.

Design and Development of Comprehensive Collaborative Dispatching and Disposal System for Urban Frequent Emergency

Author(s)

Xiangyu Zhang

Corresponding Author:
Xiangyu Zhang
Affiliation(s)

Xing He (Shanghai) Industrial Development Co., Ltd., Shanghai, China

Abstract

Emergency rescue is currently the most critical supporting element in the development of human society. However, due to overly detailed departmental divisions, the collaborative handling of rescue needs across multiple departments has been hampered. Addressing these issues, this article designs and develops a comprehensive collaborative dispatch and disposal system for emergency response. This system consists of four modules that achieve coordinated scheduling of rescue forces through emergency demand collection, assessment, matching, and task generation. By effectively integrating different emergency rescue needs and coordinating the comprehensive emergency rescue linkage among multiple departments, this system enhances the timeliness and accuracy of emergency rescue operations.

Keywords

Frequent emergency, Coordinated dispatching and handling, Emergency rescue linkage

Cite This Paper

Xiangyu Zhang. Design and Development of Comprehensive Collaborative Dispatching and Disposal System for Urban Frequent Emergency. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 5: 24-27. https://doi.org/10.25236/AJCIS.2024.070503.

References

[1] National Fire Rescue Bureau. National Police situation and Fire situation in 2022. https://www.119.gov.cn/ qmxfxw/xfyw/ 2023/36210.shtml, 2023. 

[2] H. K. Gedawy. Dynamic path planning and traffic light coordination for emergency vehicle routing. (2010)Carnegie Mellon University, 2010: 1-9.

[3] S. Djahel, N. Smith, S. Wang, and J. Murphy. Reducing emergency services response time in smart cities: An advanced adaptive and fuzzy approach. (2015) Proceedings of the 1nd international smart cities conference, 2015: 1-8.

[4] J. Anand and T. A. Flora. Emergency traffic management for ambulance using wireless communication. (2014) International Journal of Electronics & Communication, 2(7): 1-4.

[5] W. L. Min, L. Yu, P. Chen, et al. On-demand greenwave for emergency vehicles in a time-varying road network with uncertainties. IEEE Transactions on Intelligent Transportation Systems, 2019, 21(7): 3056-3068.

[6] D. Das, N. V. Altekar, K. L. Head, et al. Traffic signal priority control strategy for connected emergency vehicles with dilemma zone protection for freight vehicles. (2022) Transportation research record, 2676(1): 499-517.

[7] J. M. Wu, B. Kulcsár, S. Ahn, and X. B. Qu. Emergency vehicle lane pre-clearing: From microscopic cooperation to routing decision making. (2020) Transportation research part B: methodological, 141: 223-239.

[8] J. J. So, J. W. Kang, S. M. Park, I. Park, and J. D. Lee. Automated emergency vehicle control strategy based on automated driving controls. (2020) Journal of Advanced Transportation, 2020, Art. no. 3867921.