Time of day intervals partition for bus schedule using GPS data

Bie, Yiming; Gong, Xiaolin; Liu, Zhiyuan

doi:10.1016/j.trc.2015.09.016

Cited by 68 publications

(30 citation statements)

References 24 publications

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“…ere are a number of studies on the transit reliability optimization with focus on the normal bus service. Benefited from the application of intelligent transportation system (ITS) technologies, bus location and speed can be obtained [18][19][20]. ey provided a potential to maintain system stability under the influence of uncertain information.…”

Section: Introductionmentioning

confidence: 99%

Reliability Optimization Model of Stop-Skipping Bus Operation with Capacity Constraints

Mou

Zhang

Liang

2020

Journal of Advanced Transportation

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In a bus line with high passenger demand, the stop-skipping operation can benefit both users and operators as well as improve the service level of bus line, but it usually cannot be effectively adopted by operators because of the unordered operation of buses and the discomfort of waiting passenger at stops. Therefore, the stop-skipping operation requires higher reliability for stop serving. This paper proposes a reliable stop-skipping service design with holding strategy by taking into account bus capacity constraints. Under a stop-skipping service, the holding strategy is used to balance the interval of stop serving rather than the headway of buses. Meanwhile, to reflect the actual boarding process of waiting passengers, the number of left-over passengers and the waiting time are calculated during serving time and holding time, respectively. The objective function is to minimize the total costs of bus operation system. Besides, a Genetic Algorithm combined with Monte Carlo Simulation method is defined and implemented to solve the reliability optimization model. Finally, a numerical example based on a bus route in Changchun city is carried out to test the reliability optimization model. Results showed that the reliability optimization strategy can improve the stability of stop service and then save cost of passengers’ travel time.

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Section: Introductionmentioning

confidence: 99%

Reliability Optimization Model of Stop-Skipping Bus Operation with Capacity Constraints

Mou

Zhang

Liang

2020

Journal of Advanced Transportation

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“…As a result of random ridership and intersection signal control, buses continuously deviate from the dispatching plan, and headways among buses become more heterogeneous. Bus bunching occurs if the deviation of actual headways from planned headways reaches a certain extent (Bie, Gong, & Liu, ). Bus bunching leads to an increase in passenger waiting time and a large variation of ridership among buses; it also impairs the transit attractiveness (Tang, Liu, Wang, Sun, & Kandil, ; Yin, Li, Bešinović, & Cao, ; Yue, Han, Wang, & Liu, ).…”

Section: Introductionmentioning

confidence: 99%

Dynamic headway control for high‐frequency bus line based on speed guidance and intersection signal adjustment

Bie

Xiong

Yan

et al. 2019

Computer aided Civil Eng

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To prevent bus bunching, a dynamic headway control method in the V2I (vehicle to infrastructure) environment for a high‐frequency route with bus lane is developed. Bus operating speed guidance on the mid‐blocks and intersection signal adjustment are two main strategies in the proposed method. A forecasting model of bus travel time under the dynamic control method is developed. The objective function is set up by taking into account differences between actual bus headways and dispatching headways, and the scaling ratios of intersection cycle lengths. The optimization model is solved using genetic algorithm. The proposed method is applied to a real bus route in Meihekou city, China, and compared with the current control plan as well as holding strategy. Results show that the proposed method can reduce bus headway deviations in all investigating periods; negative impacts on cars can be limited by setting reasonable values for the parameters.

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“…The rapid development of the urbanisation and car ownership has produced big impacts on the transport systems, leading to challenges to many transport topics/areas, including demand management [1][2][3], traffic signalization [4,5], traffic safety [6,7], and public transport [8][9][10][11]. Modern logistics industry asserts a strict claim to high efficiency.…”

Section: Introductionmentioning

confidence: 99%

Analysis of an Automated Vehicle Routing Problem in Logistics considering Path Interruption

Zhang

Shi

Chen

et al. 2017

Journal of Advanced Transportation

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The application of automated vehicles in logistics can efficiently reduce the cost of logistics and reduce the potential risks in the last mile. Considering the path restriction in the initial stage of the application of automated vehicles in logistics, the conventional model for a vehicle routing problem (VRP) is modified. Thus, the automated vehicle routing problem with time windows (AVRPTW) model considering path interruption is established. Additionally, an improved particle swarm optimisation (PSO) algorithm is designed to solve this problem. Finally, a case study is undertaken to test the validity of the model and the algorithm. Four automated vehicles are designated to execute all delivery tasks required by 25 stores. Capacities of all of the automated vehicles are almost fully utilised. It is of considerable significance for the promotion of automated vehicles in last-mile situations to develop such research into real problems arising in the initial period.

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Time of day intervals partition for bus schedule using GPS data

Cited by 68 publications

References 24 publications

Reliability Optimization Model of Stop-Skipping Bus Operation with Capacity Constraints

Reliability Optimization Model of Stop-Skipping Bus Operation with Capacity Constraints

Dynamic headway control for high‐frequency bus line based on speed guidance and intersection signal adjustment

Analysis of an Automated Vehicle Routing Problem in Logistics considering Path Interruption

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