Travel Time Reliability of Bus Operation in Heterogeneous Traffic Conditions of Dar es Salaam City, Tanzania

Nyaki, Prosper S.; Bwire, Hannibal; Mushule, N K

doi:10.2478/logi-2020-0014

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…For this purpose, the trend of passengers' and vessels' arrival and departure times at stations need to be recorded. The reliability of the waiting time and delay can also be calculated in the terms of Buffer Time Index (BTI) in a similar manner conducted by Nyaki et al (2020) for bus operations.…”

Section: Hooghly River River River Rivermentioning

confidence: 99%

Travel time, delay and reliability of ferry transportation across a waterway

Das¹

2023

European Transport/Trasporti Europei

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This paper studies the journey time, delay, system reliability, vessel and passenger arrival patterns and their interdependence in six waterway transport (ferry) routes across a river. Deviations from average and buffer time indices (indicating reliability) are calculated for waiting delay, ferry journey and total travel time of passengers. Although the ferry journey is fairly reliable (6-19% deviations), large unreliability persists in waiting time (56-95% deviation). Intuitively, it decreases in locations with higher frequencies and passenger flow. Further, consistency in maintaining fixed frequency results in passengers remembering the schedule and arriving just in time, as observed statistically. A 50% hypothetical increase of frequency with fixed departures decreases the waiting delay by 29-59% and increases the reliability by 30-96%. The outcome of this paper can invigorate transportation operations over short waterway routes, as the result provides implications from the passengers’ and operators’ perspectives.

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Section: Hooghly River River River Rivermentioning

confidence: 99%

Travel time, delay and reliability of ferry transportation across a waterway

Das¹

2023

European Transport/Trasporti Europei

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“…Accurate time and space settings involve an essential attribute for quality public transport. The study [11] argues that slipping behind the timetables harms the reputation of the transport services, while article [12] claims that reliable municipal transit and exact schedules help users better plan their activities. The study [13] presents logistics models of global places, exploring their pros and cons based on secondary analyses of multiple case studies.…”

Section: Literature Reviewmentioning

confidence: 99%

Approach Draft to Evaluate the Transport System State—A Case Study Regarding the Estimation Ratio Model of Transport Supply and Demand

et al. 2023

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The article suggests a system dynamics model for estimating the demand for public transport. Traditional scientific and technical transport modeling approaches involve coherent systems, meticulously considering other impactful variables for transport modeling. The vastness of the variables and their combinations hinder us from grasping all possible system interactions. This research aims at proposing a model that comprises decisive factors in relation to the supply and demand in various modes of transport, designing likely scenarios of the transport system development in a specific transport territory. The model uses system dynamics tools to explore the interaction between individual system elements and transport subsystems. A wise choice of crucial system elements, well-adjusted relationships and behavior settings, as well as system dynamics tools, allow for a considerable simplification of an otherwise complex system. The article works with a principle of stock and flow diagrams for forecasting supply and demand in public transport. We take into consideration the implementation of a ‘demand index’ in public and car passenger transport with a subsequent comparison. This innovative approach monitors the development of a regional or municipal transport system while assessing its sustainability. Suggested demand indexes may serve as indicators for a sustainable municipal system. The suggested model reflects data from the South Bohemian region in the Czech Republic and may involve other elements and indicators of a sustainable transport system.

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“…Urban buses are one of the main demands of energy consumption and thus the electrification of urban buses can greatly alleviate the problem of urban pollution, especially the emissions of CO 2 and NO x [2][3][4]. Electric buses, which use electricity instead of traditional gasoline, have been widely used in cities around the world [5][6][7]. By the end of 2020, the electric bus is the main means of public transport in Beijing, where half of the city buses are electric buses [8].…”

Section: Introductionmentioning

confidence: 99%

Optimization of an Energy Storage System for Electric Bus Fast-Charging Station

et al. 2021

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To relieve the peak operating power of the electric grid for an electric bus fast-charging station, this paper proposes to install a stationary energy storage system and introduces an optimization problem for obtaining the optimal sizes of an energy buffer. The charging power demands of the fast-charging station are uncertain due to arrival time of the electric bus and returned state of charge of the onboard energy storage system can be affected by actual traffic conditions, ambient temperature and other factors. The introduced optimization is formulated as a stochastic program, where the power matching equality of the total charging demands of connected electric buses is described as a chance constraint by denoting a satisfaction probability, then a stochastic supremum for the operating power of the electric grid is defined by actual data and the problem finally can be solved by convex programming. A case study for an existing electric bus fast-charging station in Beijing, China was utilized to verify the optimization method. The result shows that the operation capacity cost and electricity cost of the electric grid can be decreased significantly by installing a 325 kWh energy storage system in the case of a 99% satisfaction probability.

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Travel Time Reliability of Bus Operation in Heterogeneous Traffic Conditions of Dar es Salaam City, Tanzania

Cited by 5 publications

References 12 publications

Travel time, delay and reliability of ferry transportation across a waterway

Travel time, delay and reliability of ferry transportation across a waterway

Approach Draft to Evaluate the Transport System State—A Case Study Regarding the Estimation Ratio Model of Transport Supply and Demand

Optimization of an Energy Storage System for Electric Bus Fast-Charging Station

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