On the basis of an initial introduction to the status quo in the worldwide research on mobile Internet technologies, this paper presents the problems encountered during the research and points out some key points and ...On the basis of an initial introduction to the status quo in the worldwide research on mobile Internet technologies, this paper presents the problems encountered during the research and points out some key points and research goals in this field. It infers that it is necessary to perform research on issues such as new Internet routing theories and protocols, structural characteristics of changing networks, multicast theories in mobile Internet environment and IPv6-based wireless IP network theories.展开更多
The de spreading algorithm of MC 2D CDMA (Multi Carrier 2 Dimension Code Division Multiple Access) uses a simple correlator and complex spread spectrum sequences. Each chip of spreading spectrum sequence is in two sub...The de spreading algorithm of MC 2D CDMA (Multi Carrier 2 Dimension Code Division Multiple Access) uses a simple correlator and complex spread spectrum sequences. Each chip of spreading spectrum sequence is in two sub carriers. With one sub carrier in deep fading, the chip in the other sub carrier would compensate to improve performance. Orthogonal restore correlation (ORC) explained the algorithm. The performance was examined analytically and by computer simulations. The performance is better than that of regular MC 2D CDMA model.展开更多
Fast urbanization and climate change require innovative systems for an efficient movement of people and goods in cities.As trends towards vehicle-sharing,autonomous vehicles,and the use of micro-mobility systems gain ...Fast urbanization and climate change require innovative systems for an efficient movement of people and goods in cities.As trends towards vehicle-sharing,autonomous vehicles,and the use of micro-mobility systems gain strength,the intersection of these fields appears as an area of great opportunity.Autonomy could potentially bring the convenience of on-demand mobility into already prevalent shared micro-mobility systems(SMMS),increasing their efficiency and incentivizing more people to use active mobility modes.The novelty of introducing autonomous driving technology into SMMS and their inherent complexity requires tools to assess and quantify the potential impact of autonomy on fleet performance and user experience.This paper presents an ad-hoc agentbased simulator for the assessment of the fleet behavior of autonomous SMMS in realistic scenarios,including a rebalancing system based on demand prediction.It also allows comparing its performance to station-based and dockless schemes.The proposed simulation framework is highly configurable and flexible and works with high resolution and precision geospatial data.The results of studies carried out with this simulation tool could provide valuable insights for many stakeholders,including vehicle design engineers,fleet operators,city planners,and governments.展开更多
This article introduces an open-source software stack designed for autonomous 1:10 scale model vehicles.Initially developed for the Bosch Future Mobility Challenge(BFMC)student competition,this versatile software stac...This article introduces an open-source software stack designed for autonomous 1:10 scale model vehicles.Initially developed for the Bosch Future Mobility Challenge(BFMC)student competition,this versatile software stack is applicable to a variety of autonomous driving competitions.The stack comprises perception,planning,and control modules,each essential for precise and reliable scene understanding in complex environments such as a miniature smart city in the context of BFMC.Given the limited computing power of model vehicles and the necessity for low-latency real-time applications,the stack is implemented in C++,employs YOLO Version 5 s for environmental perception,and leverages the state-of-the-art Robot Operating System(ROS)for inter-process communication.We believe that this article and the accompanying open-source software will be a valuable resource for future teams participating in autonomous driving student competitions.Our work can serve as a foundational tool for novice teams and a reference for more experienced participants.The code and data are publicly available on GitHub.展开更多
As society faces global challenges such as population growth and climate change,rethinking cities is now more imperative than ever.The design of cities can not be abstracted from the design of their mobility systems.T...As society faces global challenges such as population growth and climate change,rethinking cities is now more imperative than ever.The design of cities can not be abstracted from the design of their mobility systems.Therefore,efficient solutions must be found to transport people and goods throughout the city efficiently and ecologically.An autonomous bicycle-sharing system would combine the most relevant benefits of vehicle-sharing,autonomy,and micro-mobility,increasing the efficiency and convenience of bicycle-sharing systems and incentivizing more people to bike and enjoy their cities in an environmentally friendly way.Due to the novelty of introducing autonomous driving technology into bicycle-sharing systems and their inherent complexity,there is a need to quantify the potential impact of autonomy on fleet performance and user experience.This paper presents the results of an agent-based simulation that provides an in-depth understanding of the fleet behavior of autonomous bicycle-sharing systems in realistic scenarios,including a rebalancing system based on demand prediction.In addition,this work describes the impact of different parameters on system efficiency and service quality.Finally,it quantifies the extent to which an autonomous system would outperform current station-based and dockless bicycle-sharing schemes.The obtained results show that with a fleet size three and a half times smaller than a station-based system and eight times smaller than a dockless system,an autonomous system can improve overall performance and user experience even with no rebalancing.展开更多
文摘On the basis of an initial introduction to the status quo in the worldwide research on mobile Internet technologies, this paper presents the problems encountered during the research and points out some key points and research goals in this field. It infers that it is necessary to perform research on issues such as new Internet routing theories and protocols, structural characteristics of changing networks, multicast theories in mobile Internet environment and IPv6-based wireless IP network theories.
文摘The de spreading algorithm of MC 2D CDMA (Multi Carrier 2 Dimension Code Division Multiple Access) uses a simple correlator and complex spread spectrum sequences. Each chip of spreading spectrum sequence is in two sub carriers. With one sub carrier in deep fading, the chip in the other sub carrier would compensate to improve performance. Orthogonal restore correlation (ORC) explained the algorithm. The performance was examined analytically and by computer simulations. The performance is better than that of regular MC 2D CDMA model.
文摘Fast urbanization and climate change require innovative systems for an efficient movement of people and goods in cities.As trends towards vehicle-sharing,autonomous vehicles,and the use of micro-mobility systems gain strength,the intersection of these fields appears as an area of great opportunity.Autonomy could potentially bring the convenience of on-demand mobility into already prevalent shared micro-mobility systems(SMMS),increasing their efficiency and incentivizing more people to use active mobility modes.The novelty of introducing autonomous driving technology into SMMS and their inherent complexity requires tools to assess and quantify the potential impact of autonomy on fleet performance and user experience.This paper presents an ad-hoc agentbased simulator for the assessment of the fleet behavior of autonomous SMMS in realistic scenarios,including a rebalancing system based on demand prediction.It also allows comparing its performance to station-based and dockless schemes.The proposed simulation framework is highly configurable and flexible and works with high resolution and precision geospatial data.The results of studies carried out with this simulation tool could provide valuable insights for many stakeholders,including vehicle design engineers,fleet operators,city planners,and governments.
文摘This article introduces an open-source software stack designed for autonomous 1:10 scale model vehicles.Initially developed for the Bosch Future Mobility Challenge(BFMC)student competition,this versatile software stack is applicable to a variety of autonomous driving competitions.The stack comprises perception,planning,and control modules,each essential for precise and reliable scene understanding in complex environments such as a miniature smart city in the context of BFMC.Given the limited computing power of model vehicles and the necessity for low-latency real-time applications,the stack is implemented in C++,employs YOLO Version 5 s for environmental perception,and leverages the state-of-the-art Robot Operating System(ROS)for inter-process communication.We believe that this article and the accompanying open-source software will be a valuable resource for future teams participating in autonomous driving student competitions.Our work can serve as a foundational tool for novice teams and a reference for more experienced participants.The code and data are publicly available on GitHub.
文摘As society faces global challenges such as population growth and climate change,rethinking cities is now more imperative than ever.The design of cities can not be abstracted from the design of their mobility systems.Therefore,efficient solutions must be found to transport people and goods throughout the city efficiently and ecologically.An autonomous bicycle-sharing system would combine the most relevant benefits of vehicle-sharing,autonomy,and micro-mobility,increasing the efficiency and convenience of bicycle-sharing systems and incentivizing more people to bike and enjoy their cities in an environmentally friendly way.Due to the novelty of introducing autonomous driving technology into bicycle-sharing systems and their inherent complexity,there is a need to quantify the potential impact of autonomy on fleet performance and user experience.This paper presents the results of an agent-based simulation that provides an in-depth understanding of the fleet behavior of autonomous bicycle-sharing systems in realistic scenarios,including a rebalancing system based on demand prediction.In addition,this work describes the impact of different parameters on system efficiency and service quality.Finally,it quantifies the extent to which an autonomous system would outperform current station-based and dockless bicycle-sharing schemes.The obtained results show that with a fleet size three and a half times smaller than a station-based system and eight times smaller than a dockless system,an autonomous system can improve overall performance and user experience even with no rebalancing.
