Study on minimizing routing distance and maximizing efficiency of waste disposal process based on Dynamic Vehicle Routing Model

Authors

  • Zheng Du Southwest Jiaotong University, Sichuan, China Author
  • Qinnan Luo Southwest Jiaotong University, Sichuan, China Author

Keywords:

Dynamic vehicle routing model; Vehicle path planning; Time window; Dynamic constraint; Capacity constraints

Abstract

This article explores the optimization of route planning problems in various waste disposal scenarios. Starting with the Vehicle Routing Problem without Capacity Constraints, the objective is to minimize the total mileage traveled by four refuse vehicles while servicing ten waste disposal points. Moving on to ensure efficient waste disposal with capacity constraints, the model is further adapted. Time constraints are then introduced for each disposal point, and finally, the dynamic nature of waste disposal sites is addressed in a real-time scheduling model for dynamic environments.

For Problem 1, the article establishes a vehicle routing model and solves it to obtain the optimal routes: The route for vehicle 1 is [0, 6, 1, 9, 7, 4, 8, 5, 0], for vehicle 2 is [6, 0, 4, 9, 2, 3, 0], for vehicle 3 is [0, 4, 7, 6, 1, 8, 2, 5, 0], and for vehicle 4 is [6, 9, 4, 0, 2, 3, 0]. The total distance covered by all four vehicles is 36.10 units.

For Problem 2, the article incorporates vehicle capacity constraints into the model developed in Problem 1 and solves it to obtain the optimal routes.

For Problem 3, a vehicle routing model is established, and time window constraints are introduced based on the model developed in Problem 2. The solution reveals the optimal routes and timings for waste disposal.

For Problem 4, the article extends the model from Problem 3 to accommodate dynamic environments. The solution reflects the real-time adjustments in vehicle routes based on new tasks or changes in waste disposal sites. The article discusses the completion of tasks by each vehicle and the spare capacity available after specific disposal points.

References

[1] Laporte, G. (1992). The Vehicle Routing Problem: An Overview of Exact and Approximate Algorithms. European Journal of Operational Research, 59(3), 345-358.

[2] Toth, P., & Vigo, D. (2014). Vehicle Routing: Problems, Methods, and Applications. SIAM Monographs on Discrete Mathematics and Applications.

[3] Golden, B. L., Raghavan, S., & Wasil, E. A. (2008). The Vehicle Routing Problem: Latest Advances and New Challenges. Springer.

[4] Solomon, M. M. (1987). Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints. Operations Research, 35(2), 254-265.

[5] Xi Tianqi, Wang Weida, Yang Chao, Zhang Yuhang, Liu Wenjie, and Li Ying (2021). Research on intelligent vehicle path planning strategy based on model predictive control method (eds.) Proceedings of the 2021 Annual Conference of the Chinese Society of Automotive Engineers (1) (pp.119-123). Beijing Institute of Technology; Doi: 10.26914/c.cnkihy.2021.026835.

[6] Cao Bingru and Wang Xia (2021). Research on Multi vehicle Distribution Path Optimization Based on Dynamic Demand. Manufacturing Automation (06), 79-87.

[7] Zheng Fei (2016). Application research of dynamic programming method in clothing transportation vehicle path optimization. Logistics Technology (02), 78-82. doi: 10.13714/j.cnki.1002-31000.2016.02.023.

[8] Meng Qingzhen (2018). Urban dynamic network vehicle path optimization problem based on real-time traffic information. Era Automotive (12), 35-36.

[9] Shi Xiaojuan, Zhao Xingfang, Yan Long, Tang Yuan, Zhao Huimin. Improved Tianying Algorithm for Time Dependent Vehicle Routing Problems. Computer Engineering and Applications 1-13.

[10] Yan Jun, Chang Le, Wang Lulu, Zhao Tong (2021). Algorithm for solving the problem of simultaneous pickup and delivery vehicle routing with time windows. Industrial Engineering (05), 72-76.

*******************Cite this Article*******************

APA:

Du, Z., & Luo, Q. (2023). Study on minimizing routing distance and maximizing efficiency of waste disposal process based on Dynamic Vehicle Routing Model. International Scientific Technical and Economic Research, 1(4), 25–35. http://www.istaer.online/index.php/Home/article/view/No.2318

GB/T 7714-2015:

Du Zheng, Luo Qinnan. Study on minimizing routing distance and maximizing efficiency of waste disposal process based on Dynamic Vehicle Routing Model[J]. International Scientific Technical and Economic Research, 2023, 1(4): 25–35. http://www.istaer.online/index.php/Home/article/view/No.2318

MLA:

Du, Zheng, and Qinnan Luo. "Study on minimizing routing distance and maximizing efficiency of waste disposal process based on Dynamic Vehicle Routing Model." International Scientific Technical and Economic Research, 1.4 (2023): 25-35. http://www.istaer.online/index.php/Home/article/view/No.2318

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Published

2023-12-28 — Updated on 2025-01-16

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Research Article

How to Cite

Study on minimizing routing distance and maximizing efficiency of waste disposal process based on Dynamic Vehicle Routing Model. (2025). International Scientific Technical and Economic Research , 25-35. https://istaer.online/index.php/Home/article/view/No.2318 (Original work published 2023)

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