Blar i ODA Open Digital Archive på forfatter "Lu, Chaoru"
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A battery electric bus energy consumption model for strategic purposes: Validation of a proposed model structure with data from bus fleets in China and Norway
Hjelkrem, Odd Andre; Lervåg, Karl Yngve; Babri, Sahar; Lu, Chaoru; Södersten, Carl-Johan Hugo (Transportation Research Part D: Transport and Environment;volume 94, Peer reviewed; Journal article, 2021-04-17)In this paper, an energy model for battery electric buses (Ebus) is proposed. The model is developed based on established models for longitudinal dynamics, using event-based low-frequency data. Since the energy model is ... -
Ecological control strategy for cooperative autonomous vehicle in mixed traffic considering linear stability
Lu, Chaoru; Liu, Chenhui (Journal of Intelligent and Connected Vehicles (JICV);Volume 4, Issue 3, Peer reviewed; Journal article, 2021-11-18)Purpose – This paper aims to present a cooperative adaptive cruise control, called stable smart driving model (SSDM), for connected and autonomous vehicles (CAVs) in mixed traffic streams with human-driven vehicles. ... -
Ensemble machine learning based driving range estimation for real‐world electric city buses by considering battery degradation levels
Wang, Yongxing; Lu, Chaoru; Bi, Jun; Sai, Qiuyue; Zhang, Yongzhi (IET Intelligent Transport Systems;Volume 15, Issue 6, Peer reviewed; Journal article, 2021-04-20)Battery electric buses (BEBs) have been regarded as effective options to address the congestion and pollution problems in the field of urban transportation. However, since the limited driving range of BEBs brings challenges ... -
Exploration of the characteristics and trends of electric vehicle crashes: a case study in Norway
Liu, Chenhui; Zhao, Li; Lu, Chaoru (European Transport Research Review;14, Article number: 6 (2022), Peer reviewed; Journal article, 2022-03-14)With the rapid growth of electric vehicles (EVs) in the past decade, many new traffic safety challenges are also emerging. With the crash data of Norway from 2011 to 2018, this study gives an overview of the status quo of ... -
Geolocation estimation of target vehicles using image processing and geometric computation
Namazi, Elnaz; Mester, Rudolf; Lu, Chaoru; Li, Jingyue (Neurocomputing;Volume 499, 14 August 2022, Peer reviewed; Journal article, 2022-05-16)Estimating vehicles’ locations is one of the key components in intelligent traffic management systems (ITMSs) for increasing traffic scene awareness. Traditionally, stationary sensors have been employed in this regard. The ... -
Impact of connected and autonomous vehicle dedicated lane on the freeway traffic efficiency
He, Shanglu; Ding, Fan; Lu, Chaoru; Qi, Yong (European Transport Research Review;14, Article number: 12 (2022), Peer reviewed; Journal article, 2022-04-04)Background: The imminent emergence of connected and autonomous vehicles (CAVs) highlights the need for preparing the road infrastructure for traffic flows mixed with CAVs and human-driven vehicles. A dedicated lane (DL) ... -
Improving vehicle localization with two low-cost GPS receivers
Namazi, Elnaz; Mester, Rudolf; Lu, Chaoru; Log, Markus Metallinos; Li, Jingyue (Lecture Notes in Networks and Systems;Volume 393, Conference object, 2021)A primary concern of intelligent traffic management systems (ITMS) is to collect necessary traffic data. Vehicle position is one of the most important data types to manage traffic effectively. Most current approaches to ... -
Improving Vehicle Localization with Two Low-Cost GPS Receivers
Namazi, Elnaz; Mester, Rudolf; Lu, Chaoru; Log, Markus Metallinos; Li, Jingyue (Lecture Notes in Networks and Systems;393, Conference object, 2021-01-01)A primary concern of Intelligent Traffic Management Systems (ITMSs) is to collect the required traffic data. Vehicle position is one of the most important data types to manage traffic effectively. In this regard, Global ... -
Lifecycle cost optimization for electric bus systems with different charging methods: Collaborative planning of infrastructure procurement and fleet scheduling
Wang, Yongxing; Lu, Chaoru; Bi, Jun; Sai, Qiuyue; Qu, Xiaobo (Peer reviewed; Journal article, 2022)Abstract—Battery electric buses (BEBs) have been regarded as effective options for sustainable mobility while their promotion is highly affected by the total cost associated with their entire life cycle from the perspective ... -
MOTT: A new model for multi-object tracking based on green learning paradigm
Wu, Shan; Hadachi, Amnir; Lu, Chaoru; Vivet, Damien (Peer reviewed; Journal article, 2023)Multi-object tracking (MOT) is one of the most essential and challenging tasks in computer vision (CV). Unlike object detectors, MOT systems nowadays are more complicated and consist of several neural network models. Thus, ... -
Optimal charging strategy for intercity travels of battery electric vehicles
Wang, Yongxing; Bi, Jun; Guan, Wei; Lu, Chaoru; Xie, Dongfan (Peer reviewed; Journal article, 2021)ABSTRACT Limited driving range, long charging time and high charging costs affect the use of battery electric vehicles (BEVs) for intercity travels and often compel drivers to charge their vehicles more than once. This ... -
Reforming mixed operation schedule for electric buses and traditional fuel buses by an optimal framework
Duan, Mengyuan; Qi, Geqi; Guan, Wei; Lu, Chaoru; Xie, Dongfan (IET Intelligent Transport Systems;Volume 15, Issue 10, Peer reviewed; Journal article, 2021-07-03)Bus scheduling plays a significant role in public transportation and supports the sustainable development of transportation systems. Challenges are beginning to appear with the newly emerging electric buses (EBs), as ... -
The role of alternative fuel buses in the transition period of public transport electrification in Europe: a lifecycle perspective
Lu, Chaoru; Xie, Dong-Fan; Zhao, Xiao-Mei; Qu, Xiaobo (Peer reviewed; Journal article, 2022)In alignment with climate change, the European Union endeavors to accelerate the electrification progress of the public transit system. In particular, Copenhagen in Denmark and Oslo in Norway develop a blueprint to have ... -
Transformer for multiple object tracking: Exploring locality to vision
Wu, Shan; Hadachi, Amnir; Lu, Chaoru; Vivet, Damien (Peer reviewed; Journal article, 2023)Multi-object tracking (MOT) is a critical task in various domains, such as traffic analysis, surveillance, and autonomous vehicles. The joint-detection-and-tracking paradigm has been extensively researched, which is faster ... -
Understanding the Energy Consumption of Battery Electric Buses in Urban Public Transport Systems
Shefang, Wang; Lu, Chaoru; Chenhui, Liu; Yue, Zhou; Jun, Bi; Xiaomei, Zhao (Sustainability;volume 12, issue 23, Peer reviewed; Journal article, 2020-11-30)The ever-increasing concerns over urban air quality, noise pollution, and considerable savings in total cost of ownership encouraged more and more cities to introduce battery electric buses (e-bus). Based on the sensor ... -
Understanding Travel Behavior of Electric Car-Sharing Users under Impact of COVID-19
Sai, Qiuyue; Bi, Jun; Zhao, Xiaomei; Guan, Wei; Lu, Chaoru (Peer reviewed; Journal article, 2023)The outbreak of the COVID-19 pandemic has raised concerns about the use of public transport, with a surge in people considering personal car usage. However, owning private cars is costly and wasteful of resources. Electric ...