Hierarchical Multi-Objective Optimization for Dedicated Bus Punctuality and Supply–Demand Balance Control

Shang, Chunlin; Zhu, Fenghua; Xu, Yujie; Liu, Xiaoming; Jiang, Tianhua

doi:10.3390/s23094552

Cited by 2 publications

(2 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Equation ( 16) was the first to be solved with the ideal point method. The optimal solution of each objective function under the seven constraints was solved separately, and the optimal solution X = (x 1 , x 2 , x 3 , x 4 ) of Equation ( 16) was then determined with the distance function of Equation (11). The optimal solution obtained was X = (4153, 6210,565,5117).…”

Section: Results Analysismentioning

confidence: 99%

See 1 more Smart Citation

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

Zhang,

Song,

Zhou

et al. 2023

Sustainability

View full text Add to dashboard Cite

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.

show abstract

Section: Results Analysismentioning

confidence: 99%

“…Consider the distance function as the objective function and solve for F(X) under the constraints of Equations ( 6)- (9). The distance function should be as small as possible, as specified in Equation (11): (11) where X = (x 1 , x 2 , . .…”

mentioning

confidence: 99%

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

Zhang,

Song,

Zhou

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

Collaborative optimization of intersection signals and speed guidance for buses run on overlapping route segments under connected environment

Yang,

Jin,

Yao

et al. 2024

Computer aided Civil Eng

View full text Add to dashboard Cite

In order to reduce bus bunching in overlapping route segments and improve the efficiency of bus operation, a dynamic scheduling model is proposed to adjust bus operation states by adopting a cooperative strategy involving multi‐line bus timetable optimization, arterial signal control, and speed guidance. Based on mixed integer linear programming, an arterial signal coordination model with autonomous public transport vehicles (APTVs) dedicated lanes is developed, which enables APTVs to pass through intersections without stopping under conditions that almost have no effect on regular vehicles (RVs). Based on this, a speed guidance strategy of APTVs under connected environment is proposed. After guiding APTVs into the overlapping route segments at a reasonable interval, the optimization goal of maintaining the independent running headway of each bus line to the maximum extent is realized. The simulation verification based on three actual overlapping lines in Hangzhou shows that only the combination of signal coordination considering the characteristics of APTVs and speed guidance can realize the full benefits of bus operation based on dedicated APTVs lane.

show abstract

Hierarchical Multi-Objective Optimization for Dedicated Bus Punctuality and Supply–Demand Balance Control

Cited by 2 publications

References 32 publications

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

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

Collaborative optimization of intersection signals and speed guidance for buses run on overlapping route segments under connected environment

Contact Info

Product

Resources

About