Energy-saving speed profile planning for a connected and automated electric bus considering motor characteristic

Ji, Jinhua; Bie, Yiming; Shi, Hong; Wang, Linhong

doi:10.1016/j.jclepro.2024.141721

Cited by 10 publications

(2 citation statements)

References 50 publications

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“…For example, cities with perennial snow cover have higher robustness to deal with snowfall, and their speed reduction coefficients and congestion change coefficients are different. In the follow-up study, the network structure of specific cities can be used to analyze the robustness of different structural networks; (3) When calculating the robustness of the network in this paper, only the ground bus network is considered, but the actual urban bus network also has rail transit, taxi, and other modes, and other public transport will be considered in the future; (4) The model in this paper only evaluates the robust performance of the network, but the future research will consider the robust performance of the bus system, operating costs, passenger satisfaction, and other factors [42,43], and an optimization model will be established to find an urban bus optimization scheme for snowy conditions and provide the basis for the operation of the urban bus system.…”

Section: Discussionmentioning

confidence: 99%

Generalized-Norm-Based Robustness Evaluation Model of Bus Network under Snowy Weather

Yan,

Su,

Chen

2024

Sustainability

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Global climate change leads to frequent extreme snowfall weather, which has a significant impact on the safety and operating efficiency of urban public transportation. In order to cope with the adverse effects of extreme weather, governments should vigorously develop sustainable transportation. Since urban public transportation is a critical component of building a sustainable city, traffic management departments should quantitatively analyze the performance changes of the urban public transportation network under extreme weather conditions. Therefore, fully considering the comprehensive effects of network performance and topology to improve the robustness of urban public transportation systems requires more attention. The urban public transport network with high robustness can achieve fewer recovery costs, lower additional bus scheduling costs, and achieve the sustainable development of the public transport network. Considering the impact of travelers’ travel time tolerance and in-vehicle space congestion tolerance under snowy conditions, this paper proposes a generalized-norm-based robustness evaluation model of the bus network. Example analyses are conducted using checkerboard and ring-radial topological network structures to verify the applicability of the proposed model. The results show the following: (1) In an extreme snowfall scenario, the robustness of checkerboard and ring-radiating bus networks is reduced by 38% and 39%, respectively. (2) In the checkerboard network, the central area units are always more important to the system robustness than the peripheral units, while, in the ring-radial network, the units with higher importance are all in the ring line. (3) The failure of Ring Line 5 has a great impact on both the checkerboard and ring-radial networks, causing the system robustness to decrease by 43% and 50%, respectively.

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Section: Discussionmentioning

confidence: 99%

Generalized-Norm-Based Robustness Evaluation Model of Bus Network under Snowy Weather

Yan,

Su,

Chen

2024

Sustainability

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“…Prioritizing the promotion of public transportation is a proven way to reduce emissions from transport and improve the sustainability of society [1,2]. Recently, bus passenger flow has continued to decline in many cities.…”

Section: Introductionmentioning

confidence: 99%

Optimal Vehicle Scheduling and Charging Infrastructure Planning for Autonomous Modular Transit System

Chang,

Cong,

Wang

et al. 2024

Sustainability

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Prioritizing the development of public transport is an effective way to improve the sustainability of the transport system. In recent years, bus passenger flow has been declining in many cities. How to reform the operating mode of the public transportation system is an important issue that needs to be solved. An autonomous modular bus (AMB) is capable of physical coupling and uncoupling to flexibly adjust vehicle capacity as well as provide high-quality service under unbalanced passenger demand conditions. To promote AMB adoption and reduce the operating cost of the bus route, this paper presents a joint optimization method to simultaneously determine the AMB dispatching plan, charging plan, and charging infrastructure configuration scheme. Then, a mixed-integer programming model is formulated to minimize the operating costs of the bus route. A hybrid intelligent algorithm combining enumeration, cloning algorithm, and particle swarm optimization algorithm is designed to resolve the formulated model. Subsequently, an actual bus route is taken as an example to validate the proposed method. Results indicate that the developed method in this paper can reduce the operating costs and operational energy consumption of the route compared with the real route operating plan. Specifically, the reduction ratio of the former is 23.85%, and the reduction ratio of the latter is 5.92%. The results of this study validate the feasibility and advantages of autonomous modular transit service, contributing positively to the sustainable development of the urban public transportation system.

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Speed Profile Definition for GLOSA Implementation on Buses Based on Statistical Analysis of Experimental Data

Vignarca,

Arrigoni,

Sabbioni

et al. 2024

Lecture Notes in Mechanical Engineering

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The latest advancements in vehicle automation have revealed significant potential for enhancing traffic management via Advanced Driver Assist Systems (ADAS), benefiting both safety and environmental considerations. Green Light Optimal Speed Advisory (GLOSA) systems represent a significant application in the Cooperative-Intelligent Transportation System (C-ITS) field adopting Vehicle-to-Everything (V2X) communication technology. The literature nowadays addresses quite extensively the GLOSA, and C-ITS in general, for conventional vehicles like cars. At the same time, there is emerging research starting to involve also the public transportation vehicles within this framework. The focus for buses is typically posed either on the comfort and regularity of the service for passengers or on the energy consumption which is reduced by adopting suitable speed profiles for the vehicle, thus avoiding unnecessary stops. This work presents a statistical analysis based on experimental data collected in real-world urban scenarios over one entire year. The outcome of this analysis allows the design of speed profiles typical for a public transportation vehicle, accounting for features such as the bus stop station for getting passengers off and on.

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Energy-saving speed profile planning for a connected and automated electric bus considering motor characteristic

Cited by 10 publications

References 50 publications

Generalized-Norm-Based Robustness Evaluation Model of Bus Network under Snowy Weather

Generalized-Norm-Based Robustness Evaluation Model of Bus Network under Snowy Weather

Optimal Vehicle Scheduling and Charging Infrastructure Planning for Autonomous Modular Transit System

Speed Profile Definition for GLOSA Implementation on Buses Based on Statistical Analysis of Experimental Data

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