Personal information

Websites & social links

https://www.oslomet.no/en/about/employee/chaorulu/

Other IDs

Scopus Author ID: 57194286500
Scopus Author ID: 57204552215

Keywords

Transportation Electrification, Intelligent Transportaion System, Traffic Flow Theory

Countries

Norway

Activities

Collapse all

Employment (2)

OsloMet – Oslo Metropolitan University: Oslo, NO

2020-08-01 to present | Associate professor (Department of Civil Engineering and Energy Technology)
Employment
Source: Self-asserted source
Chaoru Lu

Norwegian University of Science and Technology: Trondheim, NO

2017-11-01 to 2020-07-31 (Department of Civil and Environmental Engineering)
Employment
Source: Self-asserted source
Chaoru Lu

Education and qualifications (2)

Iowa State University: Ames, IA, US

2014-08 to 2017-08 | Ph.D
Education
Source: Self-asserted source
Chaoru Lu

Texas A&M University Kingsville: Kingsville, TX, US

2012 to 2014 | M.Sc
Education
Source: Self-asserted source
Chaoru Lu

Funding (2)

Sustainable mixed urban transit system with electric and conventional buses

2019-01-01 to 2022-12-31 | Grant
The Research Council of Norway (Oslo, NO)
URL: https://app.dimensions.ai/details/grant/grant.7925965
GRANT_NUMBER: 299078
Source: Self-asserted source
Chaoru Lu via DimensionsWizard

China-Norway Partnership in Smart Sustainable Metropolitan Transport

Grant
Norwegian Agency for International Cooperation and Quality Enhancement in Higher Education (Oslo, NO)
Source: Self-asserted source
Chaoru Lu

Works (15)

Reforming mixed operation schedule for electric buses and traditional fuel buses by an optimal framework

IET Intelligent Transport Systems
2021-10 | Journal article
DOI: 10.1049/itr2.12098
Part of ISSN: 1751-956X
Part of ISSN: 1751-9578
Source: Self-asserted source
Chaoru Lu

Optimal charging strategy for intercity travels of battery electric vehicles

Transportation Research Part D: Transport and Environment
2021-07 | Journal article
DOI: 10.1016/j.trd.2021.102870
Part of ISSN: 1361-9209
Source: Self-asserted source
Chaoru Lu

Ensemble machine learning based driving range estimation for real‐world electric city buses by considering battery degradation levels

IET Intelligent Transport Systems
2021-06 | Journal article
DOI: 10.1049/itr2.12064
Part of ISSN: 1751-956X
Part of ISSN: 1751-9578
Source: Self-asserted source
Chaoru Lu

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

Transportation Research Part D: Transport and Environment
2021-05 | Journal article
DOI: 10.1016/j.trd.2021.102804
Part of ISSN: 1361-9209
Source: Self-asserted source
Chaoru Lu

Incorporating the standstill distance and time headway distributions into freeway car-following models and an application to estimating freeway travel time reliability

Journal of Intelligent Transportation Systems
2021-01-02 | Journal article
DOI: 10.1080/15472450.2019.1683450
Part of ISSN: 1547-2450
Part of ISSN: 1547-2442
Source: Self-asserted source
Chaoru Lu
grade
Preferred source (of 2)‎

Collaborative Optimization of Vehicle and Charging Scheduling for a Bus Fleet Mixed With Electric and Traditional Buses

IEEE Access
2020 | Journal article
DOI: 10.1109/access.2020.2964391
Part of ISSN: 2169-3536
Source: Self-asserted source
Chaoru Lu

Identifying and Counting Vehicles in Multiple Lanes by Using a Low-Cost Vehicle-Mounted Sensor for Intelligent Traffic Management Systems

Lecture Notes in Computer Science
2020 | Book chapter
DOI: 10.1007/978-3-030-61705-9_49
Part of ISBN: 9783030617042
Part of ISBN: 9783030617059
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Source: Self-asserted source
Chaoru Lu

Understanding the Energy Consumption of Battery Electric Buses in Urban Public Transport Systems

Sustainability
2020-11-30 | Journal article
DOI: 10.3390/su122310007
Part of ISSN: 2071-1050
Source: Self-asserted source
Chaoru Lu

Route Guidance Strategies for Electric Vehicles by Considering Stochastic Charging Demands in a Time-Varying Road Network

Energies
2020-05-05 | Journal article
DOI: 10.3390/en13092287
Part of ISSN: 1996-1073
Source: Self-asserted source
Chaoru Lu

A longitudinal analysis of the effectiveness of California's ban on cellphone use while driving

Transportation Research Part A: Policy and Practice
2019 | Journal article
DOI: 10.1016/j.tra.2019.04.016
EID:

2-s2.0-85065232311
Contributors: Liu, C.; Lu, C.; Wang, S.; Sharma, A.; Shaw, J.
Source: Self-asserted source
Chaoru Lu via Scopus - Elsevier

An ecological adaptive cruise control for mixed traffic and its stabilization effect

IEEE Access
2019 | Journal article
DOI: 10.1109/ACCESS.2019.2923741
EID:

2-s2.0-85069038721
Contributors: Lu, C.; Dong, J.; Hu, L.; Liu, C.
Source: Self-asserted source
Chaoru Lu via Scopus - Elsevier

Energy-Efficient Adaptive Cruise Control for Electric Connected and Autonomous Vehicles

IEEE Intelligent Transportation Systems Magazine
2019 | Journal article
DOI: 10.1109/MITS.2019.2919556
EID:

2-s2.0-85069663439
Contributors: Lu, C.; Dong, J.; Hu, L.
Source: Self-asserted source
Chaoru Lu via Scopus - Elsevier

Intelligent Intersection Management Systems Considering Autonomous Vehicles: A Systematic Literature Review

IEEE Access
2019 | Journal article
DOI: 10.1109/access.2019.2927412
Part of ISSN: 2169-3536
Source: Self-asserted source
Chaoru Lu
grade
Preferred source (of 2)‎

A new adaptive cruise control strategy and its stabilization effect on traffic flow

European Transport Research Review
2018 | Journal article
DOI: 10.1186/s12544-018-0321-9
EID:

2-s2.0-85056112753
Contributors: Lu, C.; Aakre, A.
Source: Self-asserted source
Chaoru Lu via Scopus - Elsevier

Estimating freeway travel time and its reliability using radar sensor data

Transportmetrica B: Transport Dynamics
2017-05-24 | Journal article
DOI: 10.1080/21680566.2017.1325785
EID:

2-s2.0-85019579060
Source: Self-asserted source
Chaoru Lu
grade
Preferred source (of 2)‎

Peer review (2 reviews for 2 publications/grants)

Review activity for Journal of transportation engineering. (1)
Review activity for Journal of urban mobility. (1)
How many people are using ORCID?