Investigating　the　acceptance　of　augmented　reality　head-up　displays　(AR-HUD)　in　connected　environments　is　an　important　research　issue　as　there　is　great　potential　to　enhance　driving　safety　for　both　manual　and　autonomous　driving.　This　study　investigated　drivers＇　acceptance　of　AR-HUD　with　the　technology　acceptance　model　(TAM)　with　extended　variables,　including　trust,　information　service　quality,　display　service　quality,　perceived　distraction,　and　driving　skills.　The　answers　to　a　survey　completed　by　388　drivers　were　analyzed　with　structural　equation　modeling　(SEM)　to　verify　the　reliability　and　validity　of　the　measurement　model　and　explore　the　re-lationships　between　the　observed　variables.　The　results　show　that　all　the　hypotheses　of　foundational　TAM　are　supported.　Further　analysis　has　indicated　that:　(1)　drivers＇　trust　has　a　positive　effect　on　perceived　usefulness,　attitude,　and　intention　to　use;　(2)　display　service　quality　affects　perceived　ease　of　use　positively,　while　infor-mation　service　quality　has　a　positive　influence　on　trust　and　intention　to　use;　(3)　perceived　distraction　has　a　significant　negative　impact　on　perceived　ease　of　use　and　trust,　while　the　negative　effect　on　perceived　usefulness　is　not　significant;　and　(4)　drivers＇　subjective　driving　skills　have　a　positive　influence　on　perceived　ease　of　use　and　a　negative　impact　on　perceived　usefulness.　Further　analysis　attempts　to　explain　the　causes　of　the　influence　rela-tionship　between　variables,　and　suggestions　are　proposed　to　improve　the　drivers＇　perceived　usefulness　and　perceived　ease　of　use　of　AR-HUD.　The　study　provides　valuable　insights　into　the　factors　that　significantly　affect　drivers＇　intention　to　use　AR-HUD　systems　in　theory　and　provides　suggestions　to　AR-HUD　designers　on　system　design.