Conference Papers
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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 Visualisation of Transit Passenger's Mobility from Automatic Fare Collection Data (AFC): Case Study of Hubli–Dharwad BRTS(Springer Science and Business Media Deutschland GmbH, 2023) Halyal, S.; Mulangi, R.H.; Harsha, M.M.The automatic fare collection system is an essential part of many public transportation systems and adopting more and more by public transit agencies. Even though the primary purpose is to collect revenue, they also produce large quantities of transaction data. The produced data is much needed for many transit planners for the long-term planning of transit network requirements. This paper aims to evaluate the application of automatic fare collection data, focusing on the visualisation of the aggregate pattern of passenger characteristics in terms of boarding and alighting values. Hubli–Dharwad Bus Rapid Transit System (HDBRTS) was used as a case study. The passenger flow characteristics are recognized by the spatial distribution of six months boarding and alighting data of all the network stations. The interactive plots were developed and analysed to understand passenger mobility variations between network stations concerning different days of the week. Thus, ultimately, the paper gives a complete and inclusive view of the passenger's flow characteristics. It helps transits agencies take decisions on the utility-based priority for improving strategies on various available routes of the network. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.Item Spatiotemporal Speed Characterization of Bus Rapid Transit System(Springer Science and Business Media Deutschland GmbH, 2024) Halyal, S.; Angadi, V.S.; Mulangi, R.H.Performance analysis of an urban transportation system, particularly a bus rapid transit system (BRTS), must report on its operations and dependability. The BRTS performance analysis includes many factors, including speed, directly impacting how the system functions and serves commuters. This study employs an experimental technique on a standardized basis to remark on the performance of the Hubballi–Dharwad BRTS by estimating the corridor's average speed at various spatial and temporal fluctuations. The BRTS route chosen included segregated (exclusive traffic environment) and unsegregated (mixed traffic environment) stretches. The current study primarily employed video graphics-based and manual surveys to collect data on identified spatial and temporal trends at different BRTS bus stations. The primary data required consists of dwell time (DT)-based data at each station, summarizing the total time a bus services a station for a unit of time, signal cycle data, and section speed, which corresponds to the speed of the buses between two BRT bus stations while observing spatial and temporal trends. The acceleration and deceleration rates were calculated using the section speed, followed by the acceleration and deceleration time. The addition of delays, errors, and bus congestion resulted in the average speed of various stretches. The average section speeds then facilitated the average facility speed. The variations in average section speed between stations were graphically presented, both spatially and temporally, which gave the conclusion that there was a higher section speed in the segregated stretch and a lower rate in the unsegregated stretch, followed by a higher speed in the off-peak hours and lower speed in the peak hours. The Level of Service (LOS) was developed for complete study sections considering the average facility speeds with and without the impedance, and the results were compared. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.