Tortainchai, Natchaya; (2023) Train Dwell Time Evaluation at High Passenger Volume Stations. Doctoral thesis (Ph.D), UCL (University College London).

Text Train dwell time evaluation at high passenger volume stations.pdf - Accepted Version Access restricted to UCL open access staff Download (8MB)

Abstract

Train dwell time is complicated and depends on many factors, one of the dominant ones being passenger volume. High passenger volume on a platform always causes trains to stop longer and consequently delays the service. This research used London Underground’s actual train movement data to evaluate train dwell times on the Victoria line, which is one of the most crowded lines in the London Underground system. In the morning peak of the northbound service of the Victoria line, Victoria station becomes a critical station that determines the line capacity due to the extended dwell time at the platform. This research introduces the Data Envelopment Analysis to benchmark dwell times at each station on the line in relation to passenger volume at that station, and it suggests that stations be classified based on their demand profile. Stations with the same demand profile as Victoria station (defined as high-passenger-volume stations in this research) would be looked into further. The dwell times at these high-passenger-volume stations are highly variable and dependent on passenger movements. Many studies have found that dwell times at high-passenger-volume stations are difficult to predict accurately using dwell time models. The current method for calculating a dwell time in a train schedule uses the value calculated from the prediction model or the calculation of historical data. Considering the perspective of the uncertainty inherent in dwell time evaluation, this research proposes a new dwell time evaluation approach to evaluate the likelihood and consequences of dwell time delays at different passenger volume levels. The research contributed to the evaluation framework to evaluate the risk of dwell time delays and found that the best-case scenario with the lowest risk of dwell time delays occurs when the dwell time margin is 20 seconds, and the train is loaded to 70 percent of its maximum capacity prior to arriving at the critical station.

Download activity - last month

Export as XMLJSONCSV

Download activity - last 12 months

Export as XMLJSONCSV

Downloads by country - last 12 months

Export as JSONXMLCSV

Archive Staff Only

View Item