Online Traffic Accident Spatial-Temporal Post-Impact Prediction Model on Highways Based on Spiking Neural Networks

Table 4

Attributes in CASTA.

Attribute category	Attributes	Value and description
Accident attribute	Id	Unique identifier of the accident record
	TMC event code	202 serious accidents
		203 multivehicle accidents
		245 two-lane blocked
		246 three-lane blocked
		……
	Block lanes	The number of lanes affected by the accident
	Block distance	The length of the road extent blocked by the accident
Spatial attribute	Latitude	Latitude in GPS coordinate of the accident point
	Longitude	Longitude in GPS coordinate of the accident point
	County	County in address field
	Motorway ID	Motorway name in address field
	Sensor ID	Unique identifier of the nearest sensor to the accident point
Temporal attribute	Day or night	0 day
		1 night
	Workday or not	0 workday
		1 holiday or weekend
	Peak hour or not	0 morning peak hour
		1 evening peak hour
		2 normal period
Weather attribute		0 sunny
		1 rain
		2 snow
		3 thunderstorm
		4 fog
Traffic flow characteristic attribute	Flow data series	A matrix of flowrate of upstream sensors after accident happens
	Speed data series	A matrix of speed of upstream sensors after accident happens
Impact attribute	Accident clean-up time	Sum of detection, verification, response, and clearance time
	Full-recovery time	Time duration from clearance to the moment when no vehicle is accumulated
	Half-recovery time	Time duration from clearance to the moment when queue length is half of maximum accumulative queue length
	Maximum accumulative queue length	—
	Average accumulative queue length	—