Optimal bus frequency for Kuwait public transportation company: A cost view

AlKheder, Sharaf; AlRukaibi, Fahad; Zaqzouq, Areej

doi:10.1016/j.scs.2018.05.042

Cited by 9 publications

(4 citation statements)

References 22 publications

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“…As a result, oftentimes real-life PT planning is based on rules of thumb. There are some linear models in the literature as well, but they do not consider the cost of overcrowding discomfort (12)(13)(14)(15). The objective of this work is to bridge these gaps.…”

Section: Frequency-setting Modelsmentioning

confidence: 99%

“…As a result, real-life PT planning is often done based on rules of thumb. There are some linear models in the literature as well, but they also do not consider the cost of overcrowding discomfort (12)(13)(14)(15). Those which consider overcrowding discomfort do not take operator cost into consideration, and thus may provide solutions that are unacceptable to cost-sensitive operators (16).…”

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confidence: 99%

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Frequency Optimization Models for Reducing Overcrowding Discomfort

Agrawal

Suman

Bolia

2020

Transportation Research Record: Journal of the Transportation R

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One of the most important aspects of improving public bus transport attractiveness is reducing overcrowding in buses. However, most of the mathematical models that focus on designing bus services minimize the total social cost without considering the overcrowding discomfort. Further, they are mostly non-linear in nature and use heuristic and meta-heuristic approaches. Thus, they are difficult to understand and use by practitioners. This work addresses these gaps through models that include overcrowding discomfort and are also easy to implement and contextualize by practitioners. The authors develop one non-linear and two linear models to determine the optimum frequency of buses and apply them over a network of 34 routes of Delhi. The results reveal that the existing number of buses in Delhi is not sufficient to cater to the existing travel demand of peak hours, even after their optimum allocation. The authors also present a step-by-step procedure to enable practitioners to determine the minimum additional number of buses required to reduce the target discomfort and waiting time.

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Section: Frequency-setting Modelsmentioning

confidence: 99%

mentioning

confidence: 99%

Frequency Optimization Models for Reducing Overcrowding Discomfort

Agrawal

Suman

Bolia

2020

Transportation Research Record: Journal of the Transportation R

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“…Ruiz et al [25] proposed a bus frequency optimization methodology to improve harmonization between service level and social equity in public transport. Al Kheder et al [26] investigated the optimal number of buses for Kuwait Public Transport Company and developed an integer linear programing model for the general problem. Wang et al [27] investigated how to design limited stop service operation strategies from the combined bus operator's and users' perspective.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Pricing and Service for the Peak-Period Bus Commuting Inefficiency of Boarding Queuing Congestion

et al. 2018

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This paper proposes an equilibrium bus boarding model to investigate optimal pricing and service for peak-period bus commuting inefficiency of boarding queuing congestion. Commuters are assumed to choose their optimal time-of-use decision from home or the workplace to the bus. We found that: (1) when the earliest commuter boards the bus as soon as the bus arrives at the bus station, the dynamic boarding queuing congestion toll that eliminates the boarding queuing congestion creates social optimal equilibrium and the optimal bus departure interval during the peak period; (2) the optimal bus departure interval during the peak period is the time that the preceding bus riders spend on boarding, which means the relationship between service frequency and ridership does not conform to the square root principle: the optimal bus frequency is proportional to the square root of the number of commuters.

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“…The traditional bus dispatching research focuses on dealing with the unbalanced spatial and temporal distribution of passenger flow, with the purpose of saving passenger travel cost [2][3][4]. The main research directions include bus timetable formulation [5][6][7], departure frequency optimization [8][9][10], routes scheduling optimization [11][12]. In recent years, many achievements have been made in bus combination scheduling design.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Transit Scheduling Combined with Short-Turn Service Based on Real-Time Passenger Flow

Huang¹,

Miao²,

Li³

2020

Fuzzy Systems and Data Mining VI

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In view of a series of problems, such as unable to meet the needs of passengers, high full load ratio or waste of carrying capacity on unbalanced passenger flow sections caused by the all-stop fleet scheduling in the urban public transit system, this paper proposed a bus combination scheduling strategy with considering short-turn service based on the imbalance coefficient of passenger flow and a method to determine the turning back point. A combined dispatching optimization model is established with the objective function of minimizing the total system cost which includes the waiting time cost of passengers, the congestion feeling cost and the operation cost of public transit enterprises. The headways of short-turn and all-stop scheme are optimized by the combined scheduling model, and the solution method is proposed. Taking Beijing No. A bus line as an empirical analysis object, the real-time passenger flow and vehicle data in a working day are collected and analyzed, and the optimized scheme of short-turn service combination scheduling is obtained. The results show that compared with the traditional all-stop fleet scheduling, the optimized short-turn service combination scheduling can reduce the fleet size by 4.9% and effectively improve the operation efficiency and system benefits.

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Optimal bus frequency for Kuwait public transportation company: A cost view

Cited by 9 publications

References 22 publications

Frequency Optimization Models for Reducing Overcrowding Discomfort

Frequency Optimization Models for Reducing Overcrowding Discomfort

Optimal Pricing and Service for the Peak-Period Bus Commuting Inefficiency of Boarding Queuing Congestion

Optimization of Transit Scheduling Combined with Short-Turn Service Based on Real-Time Passenger Flow

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