a , a data-driven design met hod of c ontainer t ruck appoin tment quota was pro pose d. This metho d revea led the causal relationship between the distribution of vehicle arrival time  an d t he tot al tur nover time o f v ehicles  by analy zing  the data of t he sm art gate (in form ation o f ve hicle entranc e and e x-it), an d then establ ished and sol ved the opt imiz ation model of vehic le arriv al tim e distribu tion t o realize th e appoin tment quo ta d esign o f the con taine r tr uck appointm ent system. Taking the data of Y antian por t as an exam pl e, the feasibi lity of this m ethod was analyze d. The re sult s of data mini ng sh ow tha t in each appointm ent wi ndow , t he total tu rnove r t ime of the exter nal con tainer trucks wit h the operation types of “pi ck imported empty c ontainers” an d “ one-delivery-one-pick” is a quadra tic fun ctio n relation ship with t he nu mber of v ehicles ar-rivin g, while the external conta iner truck w ith the op eration type of “ delivery expo rted full conta iners” s hows a linear func tion al relationshi p. The ex amples an alysis results show that t he optimiza tion m eth od of container truc k appointm ent quota con struc ted based o n the ab ove- menti oned func tional re-latio nship can eff ectiv ely reduce the total turno ver time of dock vehicles and t he greenh ous e gas e mi ssions ca used by tra ffic c ongestion. In a dditi on, th e method is ba sed o n empiri-cal da ta anal ysis, so it h as strong g ene raliza tion and pra ctica-bility , which can provid e reference for each terminal to optimize the container truck appoin tment share.