Abstract
With the development of the social economy, the traditional transportation mode will be replaced by the new mode which emphasizes the integration and cooperation between the transportation modes. The advent of automobilization in China has further intensified the pressure of the road traffic. The traffic jam alarm caused by the traffic accidents is increasing year by year. The minor accidents that can be dealt with quickly account for more than 70% of the traffic accidents. Traditionally, when dealing with the minor accidents, car owners often choose to stay on the spot and wait for the traffic police to deal with them. It is easy to cause “minor accidents and big traffic jams”, which lead to the congestion of a road, a bridge and even a block.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zhou Y, He L (2014) Functional module analysis and implementation of the traffic accident management system based on MapX. J Shunde Polytech (01):52–53
Yang C (2016) Cause analysis and management of the urban road traffic accidents. Bus Forum (06):124–125
Xu L, Chi J (2017) On the development of the traffic accident information management system. J Hubei Corresp Univ (06):110–111
Chen B (2018) Discussion of improving the emergency management mechanism of the emergency environmental events caused by the traffic accidents. Pollut Control Technol (10):14–15
Wang C, Wang Y, Wang L, Sheng J, Yu Y (2018) A comparative study of the road traffic accident management systems at home and abroad. Traffic Eng (08):122–123
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Zhang, J. (2020). Integration Theory and Optimal Application of the Traffic Accident Management System. In: Xu, Z., Choo, KK., Dehghantanha, A., Parizi, R., Hammoudeh, M. (eds) Cyber Security Intelligence and Analytics. CSIA 2019. Advances in Intelligent Systems and Computing, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-030-15235-2_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-15235-2_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-15234-5
Online ISBN: 978-3-030-15235-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)