| 1. |
- Tong, Pei, et al.
(författare)
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Optimal route design of electric transit networks considering travel reliability
- 2021
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Ingår i: Computer-Aided Civil and Infrastructure Engineering. - : Wiley. - 1093-9687 .- 1467-8667. ; 36:10, s. 1229-1248
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Tidskriftsartikel (refereegranskat)abstract
- Travel reliability is the most essential determinant for operating the transit system and improving its service level. In this study, an optimization model for the electric transit route network design problem is proposed, under the precondition that the locations of charging depots are predetermined. Objectives are to pursue maximum travel reliability and meanwhile control the total cost within a certain range. Constraints about the bus route and operation are also considered. A Reinforcement Learning Genetic Algorithm is developed to solve the proposed model. Two case studies including the classic Mandl's road network and a large road network in the context of Zhengzhou city are conducted to demonstrate the effectiveness of the proposed model and the solution algorithm. Results suggest that the proposed methodology is helpful for improving the travel reliability of the transit network with minimal cost increase.
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| 2. |
- Tong, Pei, et al.
(författare)
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Speed planning for connected electric buses based on battery capacity loss
- 2021
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Ingår i: Journal of Cleaner Production. - : Elsevier BV. - 0959-6526. ; 321
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Tidskriftsartikel (refereegranskat)abstract
- Connected battery electric buses (CBEBs) equipped with Vehicle-to-Infrastructure (V2I) have great potential for improving bus performance, through aspects such as energy saving and travel time reduction. For CBEBs, intelligent speed planning determines the energy consumption, which directly affects the charging or discharging of current to the battery and furthermore affects the battery degradation. This paper develops a speed planning model, aiming to minimize the total battery capacity loss of a battery electric bus by optimizing the bus speed of driving intervals and avoiding stopping delays at intersections along a bus line with a bus lane. Motor modeling, battery modeling, bus operation modeling, and constraints such as cruise time, arrival time, travel speed, acceleration and deceleration are all involved. A Q-Learning-based solution algorithm is proposed to solve the developed model. A case study based on a specific bus line with a bus lane is conducted. Results indicate that the developed method has an obvious advantage in reducing the total battery capacity loss compared with the greedy policy strategy. This study provides potential for future CBEB operation design.
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| 3. |
- Zhang, Jian, 1994, et al.
(författare)
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Eco-driving control for connected and automated electric vehicles at signalized intersections with wireless charging
- 2021
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Ingår i: Applied Energy. - : Elsevier BV. - 1872-9118 .- 0306-2619. ; 282
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Tidskriftsartikel (refereegranskat)abstract
- Electric vehicles have been well recognized by many as a solution to reduce greenhouse emissions, improve mobility, and decrease energy consumption in the transportation system. In this paper, we propose a novel wireless charging scheme for electric vehicles. The proposed scheme deploys partial wireless charging lane to intersections, so as to utilize the slow movement of vehicles at traffic lights for recharging. Furthermore, an eco-driving control strategy for electric vehicles at intersections with wireless charging, i.e., W-eco-driving, is developed, aiming to decrease the total energy consumption and increase traffic efficiency. With the aid of connected and automated vehicles technology, driving and surrounding data are accessible in real-time. Then electric vehicles can be controlled using the W-eco-driving strategy accurately. The proposed strategy is finally validated based on a specific intersection configuration. Both single electric vehicle control and electric vehicle platooning are discussed in test examples. We also investigate the influences of wireless charging power, location and length. Numerical results show that the wireless charging scheme with W-eco-driving is able to increase the driving range and decrease the travel cost simultaneously. The total travel cost can be saved up to 16% by following W-eco-driving. We further provide some suggestions about the construction of wireless charging lanes in the vicinity of signalized intersections. Compared with the pursuit of a long wireless charging lane, it is more important to put it in a proper position in the early stage of construction.
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