Faculty Publications
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Item Study on Travel Time Characteristics of Hubli-Dharwad Bus Rapid Transit System in Comparison with Heterogeneous Traffic Lane(Springer Science and Business Media Deutschland GmbH, 2022) Halyal, S.; Mulangi, R.H.; Harsha, M.M.; Laddha, H.Bus Rapid Transit System, which is also known as BRTS, is a very effective transit system in terms of travel time reduction. It has advantages compared to conventional road-based public transport like dedicated lane and pre-board fare collections. In the current study, performance-based travel time characteristics like travel time and travel speeds are evaluated by conducting the speed and delay survey for the BRT buses and private vehicles separately. The survey was performed by moving the car observation method to find out travel time and respective delays that are currently hampering the operations. Speed and delay survey for BRT buses was performed through the manual observation by travelling in the bus. Based upon the study, it has been found that there is a positive side effect of a dedicated corridor on the operation of BRTS buses, as obtained trial running speed values are almost very near to measured free-flow speed values on the selected study corridors. Meanwhile, it has been observed that the BRTS bus operation has faced many delays due to bus bunching, dwell time at the stations and delays at the intersections but delays occurring at the stations have contributed major proportion in the total delay. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.Item 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.