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当サイト「新幹線時刻表」は、東海道・山陽・九州新幹線の乗り継ぎ検索時刻表です。乗車区間と日付、時刻をご指定ください。駅の時刻表や列車個別(「のぞみ○○号」等)の時刻表、車両の情報もご覧いただけます。
当サイト「新幹線時刻表」は、東海道・山陽・九州新幹線の乗り継ぎ検索時刻表です。乗車区間と日付、時刻をご指定ください。駅の時刻表や列車個別(「のぞみ○○号」等)の時刻表、車両の情報もご覧いただけます。
According to JR Central, the train congestion peaks during coming this season will be August 17 for inbound trains. The following data are from this site Shinkansen Timetable’s independent survey. The seat availability changes from moment to moment, but they may be of some help to find remained seats.
The winter holidays are coming. According to this site Shinkansen Timetable’s independent survey, the train congestion peaks during coming winter holidays (December 27, 2019 – January 5, 2020) will be December 28 for outbound trains and January 4 for inbound ones because many users search the travel plans here for these days.
The winter holidays are coming. According to JR Central, the train congestion peaks during coming winter holiday period will be December 28 for outbound trains and January 4 for inbound ones. The following data are from this site Shinkansen Timetable’s independent survey. The seat availability changes from moment to moment, but they may be of some help to find remained seats.
According to JR Central, the peak of crowding for coming winter holidays (December 27, 2019 – January 5, 2020) will be December 28 for outbound trains and January 4 for inbound ones. The following data are from this site Shinkansen Timetable’s independent survey. The seat availability changes from moment to moment, but they may be of some help to find remaining seats.
According to this site Shinkansen Timetable’s independent survey, the train congestion peaks during coming winter holidays (December 27, 2019 – January 5, 2020) will be December 28 for outbound trains and January 4 for inbound ones.
On the subject of Doctor Yellow, a high-speed test train on Tokaido and Sanyo Shinkansen, we tried to estimate its operational schedules for this month of December 2019. Because the Doctor Yellow’s testing date has some biases, we can calculate and estimate the testing schedules with the biases of prior testing dates and days.