Showing 41 - 60 results of 64 for search '"automated vehicle"', query time: 0.05s Refine Results
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  3. 43

    Modeling Microscopic Car-Following Strategy of Mixed Traffic to Identify Optimal Platoon Configurations for Multiobjective Decision-Making by Mudasser Seraj, Jiangchen Li, Zhijun Qiu

    Published 2018-01-01
    “…Microscopic detail of complex vehicle interactions in mixed traffic, involving manual driving system (MDS) and automated driving system (ADS), is imperative in determining the extent of response by ADS vehicles in the connected automated vehicle (CAV) environment. In this context, this paper proposes a naïve microscopic car-following strategy for a mixed traffic stream in CAV settings and specified shifts in traffic mobility, safety, and environmental features. …”
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  4. 44

    Calibrating Path Choices and Train Capacities for Urban Rail Transit Simulation Models Using Smart Card and Train Movement Data by Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao

    Published 2021-01-01
    “…Transit network simulation models are often used for performance and retrospective analysis of urban rail systems, taking advantage of the availability of extensive automated fare collection (AFC) and automated vehicle location (AVL) data. Important inputs to such models, in addition to origin-destination flows, include passenger path choices and train capacity. …”
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  5. 45

    Effects of Anthropomorphic Driving Vehicles on Traffic Flow by Xiaoyi Ma, Xiaowei Hu, Dieter Schramm, Shufen Wang

    Published 2025-01-01
    “…This paper reports the microscopic traffic simulation of three scenarios around a frequently congested intersection, using non-automated vehicles, autonomous driving vehicles, and anthropomorphic driving vehicles to explore their impact on traffic efficiency. …”
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    Article
  6. 46

    Hybrid Optimization-Based Approach for Multiple Intelligent Vehicles Requests Allocation by Ahmed Hussein, Pablo Marín-Plaza, Fernando García, José María Armingol

    Published 2018-01-01
    “…Self-driving cars are attracting significant attention during the last few years, which makes the technology advances jump fast and reach a point of having a number of automated vehicles on the roads. Therefore, the necessity of cooperative driving for these automated vehicles is exponentially increasing. …”
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    Article
  7. 47

    Impacts of Cooperative Adaptive Cruise Control Links on Driving Comfort under Vehicle-to-Vehicle Communication by Yongchun Li, Chuanping Shan

    Published 2022-01-01
    “…Although automated vehicles could release drivers from the driving task, there are still passengers sitting in the vehicle. …”
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    Article
  8. 48

    A Two-Level Model for Traffic Signal Timing and Trajectories Planning of Multiple CAVs in a Random Environment by Yangsheng Jiang, Bin Zhao, Meng Liu, Zhihong Yao

    Published 2021-01-01
    “…Connected and automated vehicles (CAVs) trajectories not only provide more real-time information by vehicles to infrastructure but also can be controlled and optimized, to further save travel time and gasoline consumption. …”
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  9. 49

    Searching Optimum Route With Variable Travel Time by Yamauchi Shuki, Tokunaga Junpei, Ebara Hiroyuki, Ueda Naonori

    Published 2025-01-01
    “…In the near future, in a society where connected and autonomous vehicles (connected automated vehicles) enable the transmission and sharing of traffic information, the demand for navigation systems is expected to increase; based on this background, this study proposes a shortest route search method using a time-expansion network. …”
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  10. 50

    ANTi-JAM solutions for smart roads: Ant-inspired traffic flow rules under CAVs environment by Marco Guerrieri, Nicola Pugno

    Published 2025-01-01
    “…Emerging technologies, including smart roads, communication systems, and Cooperative and Automated Vehicles (CAVs), allow us to speculate on the use of traffic control systems inspired by ant behaviour to avoid the risk of congestion even at high traffic volumes, as demonstrated by the preliminary results of this research.…”
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  11. 51

    A Survey on Sensor Selection and Placement for Connected and Automated Mobility by Mehmet Kiraz, Fikret Sivrikaya, Sahin Albayrak

    Published 2024-01-01
    “…The progress towards fully autonomous mobility is significantly impacted by the integration of evolving technologies in connected and automated mobility (CAM). Connected and automated vehicles (CAVs) have the potential to revolutionize our transportation system by improving efficiency, safety, and environmental sustainability. …”
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  12. 52

    Theoretical Trade-Off Between Fairness and Efficiency in the Cooperative Driving Problem for CAVs at On-Ramps by Zimin He, Huaxin Pei, Yuqing Guo, Danya Yao, Li Li

    Published 2024-01-01
    “…Cooperative driving is crucial for improving traffic efficiency and safety for connected and automated vehicles (CAVs), especially in traffic bottlenecks. …”
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  13. 53

    DeepGame-TP: Integrating Dynamic Game Theory and Deep Learning for Trajectory Planning by Giovanni Lucente, Mikkel Skov Maarssoe, Sanath Himasekhar Konthala, Anas Abulehia, Reza Dariani, Julian Schindler

    Published 2024-01-01
    “…Trajectory planning for automated vehicles in traffic has been a challenging task and a hot topic in recent research. …”
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  14. 54

    Safety Improvements for Personnel and Vehicles in Short-Term Construction Sites by Daniel Rau, Jonas Vogt, Philipp Schorr, Juri Golanov, Andreas Otte, Jens Staub, Horst Wieker

    Published 2024-01-01
    “…Additionally, we discuss the distribution of the construction site’s geometry among approaching vehicles, which can provide future automated vehicles with crucial information on the site’s exact start and end points.…”
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  15. 55

    Characteristics Analysis and Equilibrium Optimization of Mixed Traffic Flow considering Connected Automated and Human-Driven Vehicles by Zhaoming Zhou, Jianbo Yuan, Shengmin Zhou, Qiong Long, Jianrong Cai, Lei Zhang

    Published 2022-01-01
    “…Considering the impact of informatization condition, vehicles on the road network are divided into connected automated vehicles (CAVs) and human-driven vehicles (HDVs), which follow the principle of system optimization and stochastic user equilibrium, respectively. …”
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  16. 56

    Driving Style Recognition under Connected Circumstance Using a Supervised Hierarchical Bayesian Model by Depeng Chen, Zhijun Chen, Yishi Zhang, Xu Qu, Mingyang Zhang, Chaozhong Wu

    Published 2021-01-01
    “…The journey experience on automated vehicles and the intelligent automated driving system could be improved by individualization driving understanding. …”
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  17. 57

    Research on Mandatory Lane-Changing Behavior in Highway Weaving Sections by Wei Hao, Zhaolei Zhang, Zhibo Gao, Kefu Yi, Li Liu, Jie Wang

    Published 2020-01-01
    “…As the accident-prone sections and bottlenecks, highway weaving sections will become more complicated when it comes to the mixed-traffic environments with connected and automated vehicles (CAVs) and human-driven vehicles (HVs). …”
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  18. 58

    SAV Operations on a Bus Line Corridor: Travel Demand, Service Frequency, and Vehicle Size by Huang Yantao, Kara M. Kockelman, Long T. Truong

    Published 2021-01-01
    “…Before shared automated vehicles (SAVs) can be widely adopted, they are anticipated to be implemented commercially in confined regions or fixed routes where the benefits of automation can be realized. …”
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  19. 59

    Modeling and Analysis on Minimum Safe Distance for Platooning Vehicles Based on Field Test of Communication Delay by Mengyan Hu, Xiangmo Zhao, Fei Hui, Bin Tian, Zhigang Xu, Xinrui Zhang

    Published 2021-01-01
    “…Vehicle platooning is a perspective technique for intelligent transportation systems (ITS). Connected and automated vehicles (CAVs) use dedicated short-range communication (DSRC) to form a convoy, in which the following vehicles can receive the information from their preceding vehicles to achieve safe automated driving and maintain a short headway. …”
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  20. 60

    Safe cooperative control of CAVs at signal-free intersection under realistic scenarios by Yuta Nakai, Toru Namerikawa

    Published 2024-12-01
    “…This research deals with the cooperative control of CAVs (Connected and Automated Vehicles) at signal-free intersection. CAVs communicate with each other and adjust their speeds to safely pass through the intersection without having to stop. …”
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