Dynamic Bus Scheduling Based on Real-Time Demand and Travel Time

Kumar, B. Anil; Prasath, G. Hari; Vanajakshi, Lelitha

doi:10.1007/s40999-019-00445-y

Cited by 17 publications

(8 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Owing to the various uncertainties in the bus system, the results of static scheduling can be adjusted based on realtime information, and the entire operation process can be monitored and optimized in dynamic bus scheduling. Representative control strategies include holding [3][4][5][6][7][8][9][10][11], skip-stop [12][13][14][15][16][17][18][19], short turnaround [20][21][22][23][24], travel restriction [23,[25][26][27], speed adjustment [28][29][30][31], and bus priority [32][33][34][35] strategies. Among these, holding, skip-stop, short turnaround, and travel restriction are station control strategies, and speed adjustment and bus priority are interstation control strategies.…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic Bus Scheduling of Multiple Routes Based on Joint Optimization of Departure Time and Speed

Liu

Luo

Cheng

et al. 2021

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

Dynamic bus scheduling is a rational solution to the urban traffic congestion problem. Most previous studies have considered a single bus line, and research on multiple bus lines remains limited. Departure schedules have been typically planned by making separate decisions regarding departure times. In this study, a joint optimization model of the bus departure time and speed scheduling is constructed for multiple routes, and a coevolutionary algorithm (CEA) is developed with the objective function of minimizing the total waiting time of passengers. Six bus lines are selected in Shenyang, with several transfer stations between them, as a typical case. Experiments are then conducted for high-, medium-, and low-intensity case of smooth, increasing and decreasing passenger flow. The results indicate that combining the scheduling departure time and speed produces better performances than when using only scheduling departure time. The total passengers waiting time of the genetic algorithm (GA) group was reduced by approximately 25%–30% when compared to the fixed speed group. The total passengers waiting time of the CEA group can be reduced by approximately 17%–24% when compared to that in the GA group, which also holds true for a multisegment convex passenger flow. The feasibility and efficiency of the constructed algorithm were demonstrated experimentally.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Dynamic Bus Scheduling of Multiple Routes Based on Joint Optimization of Departure Time and Speed

Liu

Luo

Cheng

et al. 2021

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

show abstract

“…The current issue and full text archive of this journal is available on Emerald Insight at: https://www.emerald.com/insight/2399-9802.htm two classes: scheduled-based method (Steiner and Irnich, 2018;Kumar et al, 2019;Chen and Sun, 2019) and headwaybased method (Zhang et al, 2020;Gkiotsalitis and Cats, 2018;Zhang and Lo, 2018). In the former group, the control is implemented according to the bus schedules, aiming at improving bus schedule adherence at each station, which is appropriate for low frequency transit lines, whereas headwaybased strategy is designed to keep headway close to the ideal along the route, and this method can be applied to high frequency transit lines.…”

Section: Literature Reviewmentioning

confidence: 99%

Improving schedule adherence based on dynamic signal control and speed guidance in connected bus system

Hao

Bie

Zhang

et al. 2020

JICV

View full text Add to dashboard Cite

Purpose The purpose of this paper is to develop a dynamic control method to improve bus schedule adherence under connected bus system. Design/methodology/approach The authors developed a dynamic programming model that optimally schedules the bus operating speed at road sections and multiple signal timing plans at intersections to improve bus schedule adherence. First, the bus route was partitioned into three types of sections: stop, road and intersection. Then, transit agencies can control buses in real time based on all collected information; i.e. control bus operating speed on road sections and adjust the signal timing plans through signal controllers to improve the schedule adherence in connected bus environment. Finally, bus punctuality at the downstream stop and the saturation degree deviations of intersections were selected as the evaluation criteria in optimizing signal control plans and bus speeds jointly. Findings An illustrative case study by using a bus rapid transit line in Jinan city was performed to verify the proposed model. It revealed that based on the proposed strategy, the objective value could be reduced by 73.7%, which indicated that the punctuality was highly improved but not to incur excessive congestion for other vehicular traffic. Originality/value In this paper, the authors applied speed guidance and the adjustment of the signal control plans for multiple cycles in advance to improve the scheduled stability; furthermore, the proposed control strategy can reduce the effect on private traffics to the utmost extend.

show abstract

“…e optimization problem is solved using a heuristic algorithm based on a gravity model. e study in [10] introduced a dynamic bus scheduling model to find an optimal schedule that can adapt to the variations in passenger demands and traffic conditions and hence increase financial benefit and social satisfaction. e model aims to minimize passenger waiting time and maximize bus capacity utilization while taking into account the constraints due to bus capacity and the number of available buses, as well as ensuring that the service does not exceed the maximum anticipated headway.…”

Section: Literature Reviewmentioning

confidence: 99%

“…e aforementioned literature review showed that the main challenges in this field are related to finding methods to collect accurate bus propagation and passenger demands information and then to use such data in the development of intelligent bus management applications that aim to increase bus capacity utilization, reduce bus operation cost, and improve passenger satisfaction. Specifically, the studies in [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24] addressed particular issues related to bus management applications (e.g., reducing bus bunching, finding optimal schedules, predicting bus arrival time, collecting coach operation information, and designing bus tracking hardware) but did not discuss design aspects pertaining to the software development of bus management information systems as a whole. On the other hand, the software engineering aspects to develop bus management information systems that focus on bus trip tracking were introduced in [25][26][27][28][29][30][31][32][33][34][35][36][37], but only the systems in [25][26][27] discussed driver, bus, and route setup steps besides trip tracking.…”

Section: Literature Reviewmentioning

confidence: 99%

Design, Validation, and Comparative Analysis of a Private Bus Location Tracking Information System

Al‐Hawari

Al-Sammarraie

Al-Khaffaf

2020

Journal of Advanced Transportation

View full text Add to dashboard Cite

This paper addresses various aspects related to the design, development, and validation of a web-based information system that is intended to facilitate the management of a bus transportation service offered by a Jordanian university to its staff and students. Passengers can use this system to track bus trips to find out how far a desired bus is from a specific location. Also, they can know about arrivals and departures of buses managed using this system. Specifically, this work explores UI design, data structures, database design, system architecture, and development methods to realize the required features (e.g., user roles, bus setup, driver assignment, bus routes, bus schedules, and trip monitoring) in the proposed bus location tracking system. It also suggests using the free open-source API, rather than the proprietary Google Maps API, to develop the interactive maps. The system also records trip information and solicits passenger feedback to allow reviewing and analyzing that data to enhance the quality of service, reduce operation cost, and improve passenger satisfaction. The conducted comparative analysis results illustrate that the open-source API is accurate, fast, and responsive similar to the proprietary API. Furthermore, the user survey output confirms that the deployed system is easy to use, helpful, fast, responsive, and accurate.

show abstract

Dynamic Bus Scheduling Based on Real-Time Demand and Travel Time

Cited by 17 publications

References 23 publications

Dynamic Bus Scheduling of Multiple Routes Based on Joint Optimization of Departure Time and Speed

Dynamic Bus Scheduling of Multiple Routes Based on Joint Optimization of Departure Time and Speed

Improving schedule adherence based on dynamic signal control and speed guidance in connected bus system

Design, Validation, and Comparative Analysis of a Private Bus Location Tracking Information System

Contact Info

Product

Resources

About