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Estimation of Bus Travel Time Incorporating Dwell Time for APTS Applications

机译:估算用于APTS应用的停留时间的公交行程时间

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Congestion has become a serious problem in the context of urban transport around the world. As more and more vehicles are being introduced into the urban streets every year, the mode share of the public transportation sector is declining at an alarming rate. Particularly in developing countries, more people have moved to personalized mode since it is becoming easily affordable and the quality of service offered by the public transit is not improving. To attract more people, the public transit should provide a high level of quality service to the passengers. One way of achieving this is by using Advanced Public Transport Systems (APTS) applications such as providing accurate real-time bus arrival information to the passengers which will improve the service reliability of the public transit. Travel time prediction has been a well-renowned topic of research for years. However, studies which were model based and incorporating dwell times at bus stops explicitly for heterogeneous traffic conditions are limited. The present study tries to explicitly incorporate the bus stop delays associated with the total travel times of the buses under heterogeneous traffic conditions. This will help in obtaining a reliable algorithm which can be adopted for bus arrival time prediction under Indian conditions.
机译:拥堵已经成为世界各地城市运输背景下的严重问题。随着每年越来越多的车辆正在城市街道被引入城市街道,公共交通部门的模式份额正在以惊人的速度下降。特别是在发展中国家,更多的人已经转移到个性化模式,因为它变得容易负担得起,公共交通提供的服务质量不是改善。为了吸引更多的人,公共交通应该向乘客提供高水平的优质服务。实现这一目标的一种方法是使用先进的公共交通系统(APTS)应用程序,例如向乘客提供准确的实时总线到达信息,这将提高公共交通的服务可靠性。旅行时间预测是多年来一直是着名的研究主题。然而,基于模型和在公共汽车停止的模型的研究明确地用于异构交通条件。本研究试图明确地将与公共汽车的总行驶时间相关联的总线停止延迟在异构交通条件下。这将有助于获得可靠的算法,该算法可以在印度条件下进行总线到达时间预测。

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