A Real-time Information System for Public Transport in Case of Delays and Service Disruptions

Bruglieri, Maurizio; Bruschi, Francesco; Colorni, A.; Luè, Alessandro; Nocerino, Roberto; Rana, Vincenzo

doi:10.1016/j.trpro.2015.09.003

Cited by 20 publications

(9 citation statements)

References 14 publications

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“…That is, the main objective is to find available routes or the shortest path given an OD pair when the network is interrupted by incidents. For example, Bruglieri et al (2015) designed a trip planner to find the fastest path in the public transit network during service disruptions based on real-time mobility information. Böhmová et al (2013) developed a routing algorithm in urban public transportation to find reliable journeys that are robust for system delays.…”

Section: Path Recommendation During Incidentsmentioning

confidence: 99%

Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty

Mo¹,

Koutsopoulos²,

Shen³

et al. 2022

Preprint

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When there are significant service disruptions in public transit systems, passengers usually need guidance to find alternative paths. This paper proposes a path recommendation model to mitigate the congestion during public transit disruptions. Passengers with different origin-destination and departure times are recommended with different paths such that the system travel time is minimized. We model the path recommendation as an optimal flow problem with uncertain demand information. To tackle the non-analytical formulation of travel times due to left behind, we propose a simulation-based first-order approximation to transform the original problem into linear programming. Uncertainties in demand are modeled with robust optimization to protect the path recommendation strategies against inaccurate estimates. A real-world rail disruption scenario in the Chicago Transit Authority (CTA) system is used as a case study. Results show that even without considering uncertainty, the nominal model can reduce the system travel time by 9.1% (compared to the status quo), and outperforms the benchmark capacity-based path recommendation. The average travel time of passengers in the incident line (i.e., passengers receiving recommendations) is reduced more (-20.6% compared to the status quo). After incorporating the demand uncertainty, the robust model can further reduce the system travel time. The best robust model can decrease the average travel time of incident-line passengers by 2.91% compared to the nominal model.

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Section: Path Recommendation During Incidentsmentioning

confidence: 99%

Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty

Mo¹,

Koutsopoulos²,

Shen³

et al. 2022

Preprint

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“…The GTFS format has been instrumental in the analysis of a variety of public transit network measures ( 29 ) including the study of delay ( 19 ), shortest path analysis ( 30 ), accessibility ( 31 , 32 ), and resilience ( 18 ). Vehicle- and stop-level data can be combined with other data sources to better understand how traveler behavior contributes to system performance ( 33 , 34 ). These attributes make GTFS an excellent data source for describing and explaining the performance of the transport system during the COVID-19 disruption because it provides real-time travel data in the spatial context of relevant land uses and the temporal context of the public health regulation timeline.…”

Section: Literature Reviewmentioning

confidence: 99%

Impacts of School Reopening on Variations in Local Bus Performance in Sydney

Yan

Yao

Chen

et al. 2021

Transportation Research Record: Journal of the Transportation R

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During the COVID-19 pandemic, stay-at-home orders in conjunction with working from home, school closures, and event cancellations resulted in a decrease in travel demand. Under normal circumstances, these activities are components of trip chains and utilize a multimodal transport network. The overall performance of the network can be traced through delays in the bus system as buses capture both changes in ridership and fluctuations in mixed traffic conditions. This paper explores the hypothesis that resumption of a single component in trip chains (i.e., school reopening) is sufficient for a measurable change in transport system performance. This study used school reopening in Sydney, Australia as a case study to explore whether school-related trips affected bus system performance directly with higher student patronage or indirectly with heavier road congestion from parental car trips. Both stop dwell times and differences in delays between successive stops were used as bus service indicators. Dwell times reflect the travel demand for buses and delay differences capture local changes in service reliability. We found that increase in ridership had limited impacts on bus punctuality. However, the level of local bus performance worsened after schools reopened, and the effect was more pronounced in commercial areas in the afternoon when schools ended, suggesting secondary trip purposes such as leisure and shopping in addition to school pick-ups. This study revealed the interaction between different trip purposes during the postshutdown period and threw light on changes in travel behavior patterns as travel restrictions were relaxed in pandemic circumstances.

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“…Nicolás et al [10] present a study aimed at providing the municipality of Alcoy-Spain with detailed information about public transport service based on functional, economic, social and spatial coverage. Bruglieri et al [11] propose a study which focuses on the design and development of a real time mobility information system for the management of unexpected events, delays and service disruptions concerning public transportation in the city of Milan. Olsson et al [12] measure the service experience in public transport using the Satisfaction with Travel Scale (STS).…”

Section: Survey Of Previous Workmentioning

confidence: 99%

“…We apply Equations (2) and (3) to compute the entropy and weight of each criterion for RPT and URT using the elements of the two standardized matrices given by Equations (11) and (13). The perception of passengers on service attributes for each of the transport service category is revealed in the ranking deduced from the calculated entropies and weights as shown in Table 2.…”

Section: The Weights Of Evaluation Criteriamentioning

confidence: 99%

Fuzzy Analysis and Evaluation of Public Transport Service Quality: A Case Study of Dar es Salaam City, Tanzania

Massami¹,

Myamba²,

Edward³

2016

JTTs

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Urban public transport plays a critical role in stimulating economic development of any nation since most of the revenues come from cities. The majority of the city dwellers of any country use public transport. The evaluation of public transport service quality provides a valuable feedback to commuter operators to ensure continuous improvement of level of service and to the government to take appropriate measures for enhancing the quality of public transport service. This paper analyses and evaluates service quality of Road Public Transport (RPT) (i.e. minibuses and buses) and Urban Rail Transport (URT) in Dar es Salaam City, Tanzania. Since service quality and its attributes are intangible and vague, a fuzzy evaluation model is developed and applied. The formulated model is composed of Fuzzy Entropy Method (FEM) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The overall evaluation procedure is as follows: initially, an intensive literature search and experts' opinions are employed to establish criteria for evaluating the service quality of public transport in Dar es Salaam City. The developed FEM is used to obtain criteria weight. Lastly, the formulated TOPSIS is used to provide an overall ranking of urban public transport service quality. The overall evaluation shows that urban rail transport outperforms road public transport in terms of service quality. Nevertheless, the urban rail transport service in Dar es Salaam City is currently not well developed as it is provided on very limited routes. Thus, the Tanzania government, the rail transport operator i.e. Tanzania Railway Limited (TRL) and the agency responsible for the provision of rail infrastructure i.e. Reli Assets Holding Company (RAHCO) are advised to design and employ Public-Private-Partnership (PPP) schemes i.e. concession contracts to invest more in rolling stocks, locomotives

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A Real-time Information System for Public Transport in Case of Delays and Service Disruptions

Cited by 20 publications

References 14 publications

Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty

Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty

Impacts of School Reopening on Variations in Local Bus Performance in Sydney

Fuzzy Analysis and Evaluation of Public Transport Service Quality: A Case Study of Dar es Salaam City, Tanzania

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