Urban Transport Network Regulation and Evaluation: A Fuzzy Evolutionary Approach

Sidi, M. M. Ould; Hammadi, Slim; Hayat, S.; Borne, Pierre

doi:10.1109/tsmca.2007.914789

Cited by 26 publications

(13 citation statements)

References 8 publications

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“…A multi-objective optimization approach for stop-skipping strategies is addressed by Sidi et al (2008). The authors present a decision support system to determine line patterns and their departure times after a disruption occurs and a time horizon is defined.…”

Section: Stop-skipping Strategiesmentioning

confidence: 99%

Planning, operation, and control of bus transport systems: A literature review

Ibarra-Rojas

Delgado

Giesen

et al. 2015

Transportation Research Part B: Methodological

588

243

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Section: Stop-skipping Strategiesmentioning

confidence: 99%

Planning, operation, and control of bus transport systems: A literature review

Ibarra-Rojas

Delgado

Giesen

et al. 2015

Transportation Research Part B: Methodological

588

243

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“…Bus dynamic scheduling [4][5][6][7] According to real-time monitoring of the bus station, holding and skipping are adopted to keep the headway stable.…”

Section: Strategy Description Classificationmentioning

confidence: 99%

Coordinated Control Strategy for Multi-Line Bus Bunching in Common Corridors

Zhou

Wang

et al. 2019

Sustainability

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Improving the sharing rate of public transportation is an important content for the sustainable development of urban transportation. However, bus bunching, a common phenomenon during transit operation, makes negative effects on reliability and service level of the bus system. In most urban centers in China, many bus lines usually serve in a corridor. Different buses may interact with each other in the corridor, which may aggravate the bus bunching. However, previous studies on bus bunching focused on single bus service. In addition, with the popularization of bus data acquisition and the maturity of data processing methods, the accuracy of bus bunching research meets more opportunities. In this paper, we proposed a holding strategy based on two-bus cooperative control. A simulation was carried out after preliminarily processing and analyzing the bus operation data of Foshan, Guangdong City. In the simulation, we compared the performance of three different scenarios, which are before control strategy, under the strategy for a single bus line and under the coordinated strategy for multiple bus lines. We contrastively analyze the results of the two strategies from different aspects. The results show that in aspects, such as holding a frequency, holding time, the total running time and the influence on the other bus line, the cooperative holding strategy manifests better. It illustrates that it is meaningful to do such a research on the effect of corridor service on bus bunching and add this effect into traditional holding strategy to build a multi-bus cooperative control strategy. The results have important theoretical significance for enriching and completing existing theory and methods of transit system and practical value for improving the service level and attractiveness of buses, increasing the share rate of public transportation, and thus, promoting the sustainable development of cities.

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“…However, their strategy merely restricted the boarding of passengers at the skipped stations where passengers were still allowed to alight. Sidi et al [12] considered a disruption strategy. Sidi et al proposed a multiobjective optimization approach to determine which stations should be skipped, as well as the departure time of the controlled buses.…”

Section: Journal Of Advanced Transportationmentioning

confidence: 99%

Real-Time Integrated Limited-Stop and Short-Turning Bus Control with Stochastic Travel Time

Zhang

Zhao

Cao

et al. 2017

Journal of Advanced Transportation

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In a traditional transit system, passenger arrival time and bus running time are typically random and uncoordinated. This randomness gives the appearance of unbalanced passenger demand and unreliable transit services. Therefore, this paper proposes a real-time control method for bus routes. In our method, buses skip some stations and turn back at appropriate stations, in order to balance passenger demand along the bus route and improve the overall transit service. Our real-time control method considers the typical changes in passenger demand and the stochastic travel time of buses. In this paper, the number of controlled vehicles at any given time is determined, and the bus holding time at the turn-back station is adopted. When implemented correctly, the optimal scheme indicates which stations should be skipped, where it is suitable for buses to turn back, and how long the holding time should be at turn-back stations, which in turn will minimize the total cost of a transit system. This paper formulates such an integrated strategy, presents the solution method of the formulation, and proves the validity of the real-time control method.

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Urban Transport Network Regulation and Evaluation: A Fuzzy Evolutionary Approach

Cited by 26 publications

References 8 publications

Planning, operation, and control of bus transport systems: A literature review

Planning, operation, and control of bus transport systems: A literature review

Coordinated Control Strategy for Multi-Line Bus Bunching in Common Corridors

Real-Time Integrated Limited-Stop and Short-Turning Bus Control with Stochastic Travel Time

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