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Author: search.filters.author.Harsha, M.M.Subject: search.filters.subject.Bus stop delay

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    Analysis of Bus Stop Delay Variability Using Public Transit GPS Data
    (Springer Science and Business Media Deutschland GmbH, 2023) Ayana, H.; Mulangi, R.H.; Harsha, M.M.
    Travel time is considered as a direct measure of the efficiency and service reliability of a public transit system and increased travel time is contributed by delays at bus stops. Delay at bus stops affects the efficiency of bus operations and the level of service of public transportation. Day-to-day delay variability decreases passenger confidence in perceived reliability, causing uncertainty in making travel decisions. Many research works have been carried out to find delays at bus stops, but there are very few studies about the delay at bus stops in India using automatic vehicle location (AVL) data. In the present study, an attempt has been made to analyze delays at various bus stops in Mysore city using vehicle trajectory-based formulation based on AVL data collected from the Mysore Intelligent Transportation System (ITS). Delay variability has been analyzed using the coefficient of variation (COV) and also by fitting various probability distributions to the data, since distribution fitting helps in estimating the pattern of delay variability. The goodness of fit is tested by the Kolmogorov–Smirnov (KS) test. The results suggest that bus stops in the commercial area face more variability than the bus stops in residential areas. By fitting various distributions to delay data, it was observed that the performance of the generalized extreme value (GEV) distribution in fitting the data is better than other distributions. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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    Application of Public Transit AVL Data for Evaluation of Delay Variability
    (Institute for Transport Studies in the European Economic Integration, 2023) Harsha, M.M.; Mulangi, R.H.; Panditharadhya, B.J.
    The travel time is the significant factor in evaluating efficiency and performance of public transit system. A greater percentage of travel time is accounted by bus stop delays which depends on passenger count, bus stop characteristics, traffic condition, bus performance, etc. Many of the Indian transit agencies store the passenger details stage wise not stop wise, which makes it difficult to evaluate delay variability at bus stop level. In this connection, Automatic Vehicle Location (AVL) data from Intelligent Transport System (ITS) implemented at Mysore, India is considered for evaluating bus stop delay variability. The collected data is used for estimating delay at five stops by adopting trajectory-based formulation. The probability distributions have been utilized to model the variability in delay. The performance has been analysed using Kolmogorov-Smirnov (KS) test. The daily variability of delay at bus stops has been evaluated using Coefficient of Variation (COV). The results of the performance evaluation of delay distributions show that the Generalized Extreme Value (GEV) distribution is the best descriptor of the delay variability in terms of accuracy, robustness, and survival capacity. In the absence of passenger data collection systems, method of evaluation of delay using AVL data presented in this study is helpful. © 2023 Institute for Transport Studies in the European Economic Integration. All rights reserved.