Blar i NTNU Open på forfatter "Lu, Chaoru"
-
A New Adaptive Cruise Control Strategy and Its Stabilization Effect on Traffic Flow
Lu, Chaoru; Aakre, Arvid (Journal article; Peer reviewed, 2018)Connected and autonomous vehicle (CAV) technologies are likely to be gradually implemented over time. In this paper, an adaptive cruise control, named Smart Driver Model (SDM), is proposed to describe the autonomous vehicles ... -
An Ecological Adaptive Cruise Control for Mixed Traffic and Its Stabilization Effect
Lu, Chaoru; Dong, Jing; Hu, Liang; Liu, Chenhui (Journal article; Peer reviewed, 2019)With the rapid development of technologies, the ecological control strategies of connected and autonomous vehicle (CAV) technologies are gaining more and more attention. In this paper, a rule-based ecological cruise control, ... -
Collaborative Optimization of Vehicle and Charging Scheduling for a Bus Fleet Mixed With Electric and Traditional Buses
Zhou, Guang-Jing; Xie, Dong-Fan; Zhao, Xiao-Mei; Lu, Chaoru (Journal article; Peer reviewed, 2020) -
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 (Peer reviewed; Journal article, 2021)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 ... -
Geolocation estimation of target vehicles using image processing and geometric computation
Namazi, Elnaz; Mester, Rudolf; Lu, Chaoru; Li, Jingyue (Journal article; Peer reviewed, 2022)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 ... -
Identifying and Counting Vehicles in Multiple Lanes by Using a Low-Cost Vehicle-Mounted Sensor for Intelligent Traffic Management Systems
Namazi, Elnaz; Li, Jingyue; Mester, Rudolf; Lu, Chaoru (Chapter, 2020)There is evidence that accessing online traffic data is a key factor to facilitate intelligent traffic management, especially at intersections. With the advent of autonomous vehicles (AVs), new options for collecting such ... -
Improving Vehicle Localization with Two Low-Cost GPS Receivers
Namazi, Elnaz; Mester, Rudolf; Lu, Chaoru; Log, Markus Metallinos; Li, Jingyue (Chapter, 2021)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 ... -
Integrated optimization of charger deployment and fleet scheduling for battery electric buses
Wang, Yongxing; Liao, Feixiong; Lu, Chaoru (Peer reviewed; Journal article, 2022)Battery electric buses (BEBs) are considered effective options for sustainable mobility. Their operational efficiency is significantly influenced by the deployment of charging infrastructure and the scheduling of the bus ... -
Intelligent Intersection Management Systems Considering Autonomous Vehicles: A Systematic Literature Review
Namazi, Elnaz; Li, Jingyue; Lu, Chaoru (Journal article; Peer reviewed, 2019)Over the past several decades, the development of technologies and the production of autonomous vehicles have enhanced the need for intelligent intersection management systems. Subsequently, growing interest in studying ... -
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)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 of urban ... -
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)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 study proposes ... -
Pick-Up Time Analysis and Prediction for Carsharing Users Based on Decision Tree
Sai, Qiuyue; Bi, Jun; Wang, Yongxing; Zhi, Ru; Lu, Chaoru (Peer reviewed; Journal article, 2022)The development of carsharing can reduce the number of private cars, which can save resources. Due to the limited supply of vehicles and diversified demands of users, it is necessary to plan the temporal and spatial ... -
Predicting Freeway Work Zone Capacity Distribution Based on Logistic Speed-Density Models
Lu, Chaoru; Dong, Jing; Sharma, Anuj; Huang, Tingting; Knickerbocker, Skylar (Journal article; Peer reviewed, 2018)Speed-volume-density relationship and capacity are key elements in modelling traffic operations, designing roadways, and evaluating facility performance. This paper uses a modified five-parameter logistic model to describe ... -
Route Guidance Strategies for Electric Vehicles by Considering Stochastic Charging Demands in a Time-Varying Road Network
Wang, Yongxing; Bi, Jun; Lu, Chaoru; Ding, Cong (Peer reviewed; Journal article, 2020)Electric vehicles (EVs) are being increasingly adopted because of global concerns about petroleum dependence and greenhouse gas emissions. However, their limited driving range results in increased charging demands with a ... -
Traffic Awareness Through Multiple Mobile Sensor Fusion
Namazi, Elnaz; Mester, Rudolf; Li, Jingyue; Lu, Chaoru; Tang, Meng; Xiong, Ying (Journal article; Peer reviewed, 2022)An intelligent traffic management system (ITMS) benefits from an accurate and global awareness of the traffic status obtained through traffic data. A growing body of literature recognizes the importance of modern vehicles ...