Multiobjective Collaborative Optimization Method for the Urban Rail Multirouting Train Operation Plan

Deng, Lianbo; Peng, Qi; Li, Cai; Zeng, Junhao; Bhatt, Nava Raj

doi:10.1155/2023/3897353

Cited by 2 publications

(2 citation statements)

References 33 publications

(45 reference statements)

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“…In summary, most existing skip-stop studies for solving train delay problems only focus on either the operators' commercial benefits or the passengers' interests individually. A few studies propose two objective functions to simultaneously track the trade-off problem between them [17][18][19][20][21][22].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Constraint ( 21) assumes a critical role by safeguarding that the actual travel time between stations for train i remains at or surpasses the planned travel time R i,j . Constraint (22) ensures the safety headway between adjacent trains. Constraint ( 23) limits the time intervals for arrivals and departures of the adjacent trains.…”

Section: Timetabling Constraintmentioning

confidence: 99%

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Timetable Rescheduling Using Skip-Stop Strategy for Sustainable Urban Rail Transit

Cao,

Wang,

Yang

et al. 2023

Sustainability

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Unanticipated events inevitably occur in daily urban rail transit operations, disturbing the scheduled timetable. Despite the mild delay, the busy operation system probably tends to worsen a larger disturbance and even lead to a knock-on disruption if no rescheduling is timely carried out. We propose a bi-objective mixed-integer linear programming model (MILP) that employs the skip-stop operation strategy to eliminate unscheduled delays. This model addresses two distinct, yet interconnected objectives. Firstly, it aims to minimize the difference between the plan and the actual operation. Secondly, it strives to minimize the number of left-behind passengers. In order to resolve this MILP problem, we devised a Pareto-based genetic algorithm (GA). Based on the case study, we certify the superior effectiveness with comparisons to the whale optimization algorithm and the epsilon constraint method. The outcomes affirm that our model has the potential to reduce the total delay time of the line by 44.52% at most compared with the traditional all-stop running adjustment model. The optimal scheme saved 6.08% of the total costs based on a trade-off between operators’ interests and passenger satisfaction.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Timetabling Constraintmentioning

confidence: 99%

Timetable Rescheduling Using Skip-Stop Strategy for Sustainable Urban Rail Transit

Cao,

Wang,

Yang

et al. 2023

Sustainability

View full text Add to dashboard Cite

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Multiobjective-Based Decision-Making for the Optimization of an Urban Passenger Traffic System Structure

Zhang,

Song,

Zhou

et al. 2023

Sustainability

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Urbanization has aggravated the conflict between continuously increasing urban travel demands and limited supply. Moreover, the inability to expand urban roads due to previous land planning and utilization has resulted in significant traffic congestion, traffic safety issues, and environmental problems. To address these problems, this work attempted to develop a multiobjective model to optimize the passenger traffic system while considering carbon emissions, transport costs, and resource utilization. In addition, the ideal point method and entropy weight method were combined to obtain the optimal solution. Based on the operational data on traffic modes and travel data on passengers in Harbin, the northern capital of China, the proposed method was used to solve the case in Harbin. The results show that the proportion of buses increased by 1.05%, that of subways increased by 36.60%, that of taxis decreased by 11.86%, and that of private cars decreased by 25.78% after optimization. Furthermore, the analyses of the results show that the optimized passenger traffic system structure can promote the sustainable development of urban transport and demonstrate the practicality of the proposed method for solving multiobjective optimization problems. Relative to the ideal point method and genetic algorithm, the proposed method is more applicable for optimizing the passenger traffic structure in Harbin. In addition, this study explored the sensitivity of the optimization goals to the four motorized modes. The results show that subways and private cars are the key areas to prioritize in adjusting the urban passenger traffic system structure. Based on the analysis results, recommendations for the development of transportation in Harbin are given. This study provides a reference for decision-makers to formulate policies for the urban sustainable development of Harbin as well as for transportation development in other cities.

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Multiobjective Collaborative Optimization Method for the Urban Rail Multirouting Train Operation Plan

Cited by 2 publications

References 33 publications

Timetable Rescheduling Using Skip-Stop Strategy for Sustainable Urban Rail Transit

Timetable Rescheduling Using Skip-Stop Strategy for Sustainable Urban Rail Transit

Multiobjective-Based Decision-Making for the Optimization of an Urban Passenger Traffic System Structure

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