In　rccent　years,　the　market　sharc　of　AMT　heavy　semi-trailer　tractor　(AMT　tractor　hereinafter)　in　China　has　expanded　rapidly.　However,　research　pertaining　to　this　vehicle　type　has　not　progressed　accordingly　with　this　trend,　and　the　vehicle　Performance　can　be　further　improved.　Thus,　typical　driving　cycles　for　AMT　tractors　in　China　should　be　established,　shifting　scenarios　analyzed,　and　stylistic　cycles　construeted　to　facilitate　the　optimization　of　AMT　shifting　strategies.　This　will　improve　the　power,　economic,　and　environmental　Performances　of　thc　vchiclc　and　allow　thc　advantages　of　AMT　tractors　to　bc　leveraged　more　effectively.　Using　measured　data　of　the　vehicle,　the　Douglas-Peucker　algorithm　was　applied　to　disperse　the　speed　and　power　indicators　such　that　the　difference　and　trend　data　of　the　two　indicators　can　be　obtained.　Subsequently,　four　typical　shifting　scenarios,　i.　e.,　acceleration,　deceleration,　starting,　and　parking,　were　efficiently　constructed,　and　the　shifting　speeds,　power-consumption　fluctuation,　number　of　shifts,　and　shifting　load　were　counted　and　analyzed　under　different　scenarios.　Next,　a　non-freeway　driving　cycle　was　constructed　using　the　improved　short-trip　mcthod　combined　with　the　t-SNE　and　K-means　algorithms,　and　a　freeway　driving　cycle　was　constructed　using　the　Markov　chain　method　to　compensate　for　the　intrinsic　defects　of　the　short-trip　method.　Finally,　based　on　thc　non-freeway　driving　cycle,　an　objective　scoring　method　was　used　to　distinguish　between　conservative　and　aggressive　difference　data,　after　which　they　were　superimposed　on　thc　non-freeway　cycle　skeleton　to　construet　style　cycles　more　flcxibly.　The　results　are　as　follows:　The　shifting　velocity　of　the　AMT　tractor　is　particularly　evident　in　two　intervals,　i.　e.,　0-20　and　55-70　km　•　h~],　and　the　four　typical　shifting　scenarios　are　different　from　each　other.　This　implics　that　the　dynamics　and　economic　tendency　of　the　shifting　strategy　should　be　dynamically　adjusted　depending　on　the　scenario.　The　average　relative　error　(MRE)　of　the　indicators　for　the　freeway　and　non-freeway　driving　cycles　are　4.　834%　and　3.　431%,　respectively　(while　the　latter　reduced　by　27.　49%　compared　with　thc　conventional　method),　and　the　MREs　of　thc　simulated　fuel　consumption　are　6.　68%　and　3.　97%,　respectively,　thus　indicating　that　the　two　cycles　are　superior　to　the　Standard　cycles　of　CHTC-TT　and　C-WTVC.　The　MREs　of　both　the　aggressive　and　conservative　driving　cycles　are　approximately　5.　6%,　which　indicates　that　they　can　be　used　to　evaluate　the　Performance　of　the　shifting　strategy　under　different　driving　intensities.　The　MREs　based　on　the　conventional　method　and　style　cycles　exceed　3.　431%,　which　indicates　that　the　driving　bchavior　data　must　be　separated　during　the　construetion　of　the　driving　cycle　to　mitigate　the　negative　impact.　©　2024　Chang＇an　University.　All　rights　reserved.