An Analysis of Bus Traffic Delay with Geographical Characteristics and an Application to Arrival Time Prediction in Snowfall Situation

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  • Hiroi Kei
    Graduate School of Engineering, Nagoya University
  • Hananouchi Koutaro
    Graduate School of Engineering, Nagoya University
  • Imai Hitomi
    Graduate School of Engineering, Nagoya University
  • Kawaguchi Nobuo
    Graduate School of Engineering, Nagoya University Institutes of Innovation for Future Society, Nagoya University

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Other Title
  • 地形の影響を考慮した積雪時のバス遅延の分析と到着時刻予測への適用
  • チケイ ノ エイキョウ オ コウリョ シタ セキセツジ ノ バス チエン ノ ブンセキ ト トウチャク ジコク ヨソク エ ノ テキヨウ

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Abstract

<p>Bus transportation service is more influenced than other public transport by various factors such as traffic congestion, weather condition, number of passengers, traffic signals. These factors often cause delay and the users may feel inconvenience while waiting at the bus stop. In the case of snowfall event, a large delay occurs, which greatly reduces the convenience of the bus. This paper aims at highly accurate arrival time prediction for each bus stop section in snow event in urban area. We investigate vulnerability of bus operations to snowfall and incorporate into predictions using geographical characteristics. In each bus stop section, we estimate geographical characteristics (gradient angle and gradient direction) and snow accumulation amount with detailed spatial resolution as factors affecting bus delay. Then, we evaluate a prediction accuracy using the arrival time prediction model with multiple regression analysis and the Kalman filter. As a result of the multiple regression analysis, it was found that the geographical characteristics of each bus stop section were the explanatory variables that greatly affect the bus delay at snowfall event. Furthermore, we predicted the bus arrival time using actual bus operation data. Of the 29 routes, 18 routes showed improvement in the predicted arrival time.</p>

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