Accident Diagnosis and Evaluation System in Parking Lots Using Multisource Data Based on Bayesian Networks

Table 1

Summary of potential factors affecting parking safety.

Variable	Research	Conclusion
Time	Yahaya et al., 2021	Off-peak hours are one of the influencing factors in fatal injury crashes compared to peak hours [28]
Light conditions	Liu. et al., 2019	Low illumination conditions at night cause frequent and serious traffic accidents [29]
	Bullough et al., 2019	The setting of lighting conditions can partially predict parking lot safety [30]
Weather conditions	Xue et al., 2022	Different weather conditions can affect driving behavior with different levels of road familiarity [31]
	Tu et al., 2015	Driving behavior in hazy weather are different from those in clear conditions [32]
Urban size	Cabrera-Arnau et al., 2020	Urban areas have a higher frequency of minor and serious accidents, while rural areas are more likely to have fatal accidents [33]
Vehicle movement	Afshar et al., 2022	Vehicle movements like moving forward, and left turn are of great importance in accident analysis [34]
Vehicle type	Duan and He 2022	There are similarities and differences between the factors influencing the severity of traffic accidents of different vehicle types [35]
Vehicle speed	Lin et al., 2022	Speed limit is an important risk factor for traffic accidents [36]
Shoulder type	Kordani 2018	Setting proper shoulders helps improve road safety on two-lane roads [37]
Road surface conditions	Chen et al., 2018	Road surface conditions may have a significant impact on the likelihood of a crash on a highway, even on typical highways that do not experience frequent adverse weather [38]