This paper investigates a new optimal routing problem of a sanitation vehicle. In this planning problem, during the operation times of this vehicle, time-varying properties of traffic flows are considered. We propose a time-space network (TSN) model for capturing the time-varying properties of traffic flows while routing the sanitation vehicle. The model provides a global route to avoid congested sections to ensure the shortest work time of the sanitation vehicle. A calculation case is used to illustrate the advantages of the model. Compared with the traditional time-invariant model, the proposed TSN model can minimize the completion times of all sanitation operations under real time-varying road conditions.

Yu, B., Xin, J., D'Ariano, A. (2019). Route Planning of A Sanitation Vehicle in A Dynamic Traffic Environment. In Proceedings - 2019 Chinese Automation Congress, CAC 2019 (pp.2898-2903). Institute of Electrical and Electronics Engineers Inc. [10.1109/CAC48633.2019.8997003].

Route Planning of A Sanitation Vehicle in A Dynamic Traffic Environment

D'Ariano A.
2019-01-01

Abstract

This paper investigates a new optimal routing problem of a sanitation vehicle. In this planning problem, during the operation times of this vehicle, time-varying properties of traffic flows are considered. We propose a time-space network (TSN) model for capturing the time-varying properties of traffic flows while routing the sanitation vehicle. The model provides a global route to avoid congested sections to ensure the shortest work time of the sanitation vehicle. A calculation case is used to illustrate the advantages of the model. Compared with the traditional time-invariant model, the proposed TSN model can minimize the completion times of all sanitation operations under real time-varying road conditions.
978-1-7281-4094-0
Yu, B., Xin, J., D'Ariano, A. (2019). Route Planning of A Sanitation Vehicle in A Dynamic Traffic Environment. In Proceedings - 2019 Chinese Automation Congress, CAC 2019 (pp.2898-2903). Institute of Electrical and Electronics Engineers Inc. [10.1109/CAC48633.2019.8997003].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/375392
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