Prediction of Traffic Flow considering Electric Vehicle Market Share and Random Charging

Table 2

Notations.

Sets
	Set of nodes in the transport network, where
	Set of links, where
	Set of CSs, where
	Set of all origin nodes, where
	Set of all destination nodes, where
	Set of all paths from the origin to the destination for GVs, where
	Set of all paths from the origin to the destination for BEVs in group, where
	Set of BEV group, where
Parameters
and	The travel demands of BEVs in group and GVs between O–D pair respectively
and	Gasoline or electricity cost per kilometre for GVs and BEVs
and	Time value conversion coefficient of GVs and BEVs
and	GVs and BEVs user perceived discrete parameter
	The length of
	The average electricity consumption per kilometre
and	Mean and variance of initial SOC distribution
and	Mean and square of SOC distribution at the beginning of RCB
	Free-flow travel time on link
	Travel time function of link
	Capacity of link
and	The number of servers and average service rate at the CS
	Initial state of charge in group
	Correction coefficient
	Initial SOC range of type m BEV,
	BEV market share
Decision variables
and	The GVs traffic flow on the path and the BEVs traffic flow on the path , respectively
	The possible charging flow in the m-group BEVs at the CS
	The aggregated traffic flow on link
and	The GV flow on link and the BEV flow on link
and	The route and choice probability
	Correction term
	The possibility of charging at the charging station on the path
	Idle probability of CS
	System utilization of CS
	The distance from origin to charging station on the path for BEVs in the group
and	The average queue length and the average dwell time at the CS
	Generalized cost of BEVs on path
	Generalized cost of GVs on path
and	Binary variable, equals to 1 if link is on the path (), 0 otherwise
	Binary variable, equals to 1 if CS is on the path , 0 otherwise