Experiences Building an Environment friendly its in the City of Huainan

Huainan is a former mining city with about 3 million inhabitants which means in China a classification as a "third-tier" city. In this class of city are more than 200 other cities in China, which shows the great potential that Huainan has to act as a pioneer and possible blueprint for other cities. During the application phase, the progressive ideas of the city government led to experts from DLR being invited to integrate sustainable and environmental protection aspects into the project, subsumed in the "German Innovation Package". The project to set up the new ITS was planned for 2 years (2018-2020) plus a phase of 3 years for maintenance which was also used for optimization and enhancements. This contribution describes the main results und experiences of the overall project and new core functionalities of the integrated modules developed by DLR, namely a traffic and environment dashboard and weekly/monthly reports about the ITS situation, all integrated in the established web-portal KeepMoving

Traffic Information Systems for Smart Mobility as part of Smart Cities

The unlimited and unrestricted mobility of people and goods in urban areas is one of the key factors for economic and social development of the city. Today with the availability of smart technologies and various intelligent transportation and telematics solutions the Smart Mobility as part of a Smart City is possible to maintain the mobility ecosystem in the city. But to make the urban mobility smart by assuring the sustainability, safety, low emission and comfort in urban transport new mobility concepts are required. This paper introduces an architecture for smart mobility systems and describes in general the requirements of such systems. The focus for this contribution is on the traffic information and management systems for public, private and shared mobility. In addition to the traffic information and data sources, this paper also deals with social media as new traffic data source as well as the environment data. Furthermore, some use cases selected from different national and international ITS projects are also presented

Preparation and Membrane Permeability of Curcumin Nanoparticles by Subcritical Water Technology

Curcumin (Cur) nanoparticles were prepared by subcritical water (SBCW) method and its membrane permeability was evaluated. The processing conditions for the preparation of curcumin nanoparticles were investigated in terms of its particle size distribution, polydispersity index (PDI) and zeta potential, and the prepared nanoparticles were characterized and evaluated for in vitro membrane permeability. The results showed that nanoparticles with a diameter of 166 nm and a drug loading of 70.2% were obtained under the conditions: SBCW temperature 120 ℃, receiving solvent temperature 0 ℃, subcritical water/receiving solution ratio 1:3 (V/V), 0.04 g/100 mL lactose as stabilizing agent, and 30% (V/V) ethanol as entrainer. Fourier transform infrared (FTIR) spectroscopy showed no structural changes in Cur. Scanning electron microscopy (SEM) showed that Cur nanoparticles were uniformly spherical in shape. Differential scanning calorimetry (DSC) analysis showed a decrease in the crystallinity of the nanoparticles. Cur nanoparticles exhibited excellent membrane permeability in vitro, and the permeation rate in the first two hours was 25 folds higher than that of free Cur. Furthermore, Cur nanoparticles exhibited good transmembrane capacity in rabbits and significantly enhanced the bioavailability of Cur. The preparation of Cur nanoparticles using subcritical water method has the advantages of high drug loading, good membrane permeability, no need for carriers, simple process, and green environmental protection

Potential of Core-Collapse Supernova Neutrino Detection at JUNO

JUNO is an underground neutrino observatory under construction in Jiangmen, China. It uses 20kton liquid scintillator as target, which enables it to detect supernova burst neutrinos of a large statistics for the next galactic core-collapse supernova (CCSN) and also pre-supernova neutrinos from the nearby CCSN progenitors. All flavors of supernova burst neutrinos can be detected by JUNO via several interaction channels, including inverse beta decay, elastic scattering on electron and proton, interactions on C12 nuclei, etc. This retains the possibility for JUNO to reconstruct the energy spectra of supernova burst neutrinos of all flavors. The real time monitoring systems based on FPGA and DAQ are under development in JUNO, which allow prompt alert and trigger-less data acquisition of CCSN events. The alert performances of both monitoring systems have been thoroughly studied using simulations. Moreover, once a CCSN is tagged, the system can give fast characterizations, such as directionality and light curve

Detection of the Diffuse Supernova Neutrino Background with JUNO

As an underground multi-purpose neutrino detector with 20 kton liquid scintillator, Jiangmen Underground Neutrino Observatory (JUNO) is competitive with and complementary to the water-Cherenkov detectors on the search for the diffuse supernova neutrino background (DSNB). Typical supernova models predict 2-4 events per year within the optimal observation window in the JUNO detector. The dominant background is from the neutral-current (NC) interaction of atmospheric neutrinos with 12C nuclei, which surpasses the DSNB by more than one order of magnitude. We evaluated the systematic uncertainty of NC background from the spread of a variety of data-driven models and further developed a method to determine NC background within 15\% with {\it{in}} {\it{situ}} measurements after ten years of running. Besides, the NC-like backgrounds can be effectively suppressed by the intrinsic pulse-shape discrimination (PSD) capabilities of liquid scintillators. In this talk, I will present in detail the improvements on NC background uncertainty evaluation, PSD discriminator development, and finally, the potential of DSNB sensitivity in JUNO

Traffic level of service generation from video detection system using cluster analysis

In general, traffic service quality can be described by different parameters and the traffic level of service (LOS) is mainly determined by one of them, such as traffic flow or traffic speed. However, the traffic phenomenon is extremely complex; its characteristics cannot be well represented only by one single parameter. The aim of this research is to determine a more representable LOS based on three measured parameters, derived from the local traffic video data collected in Hefei, China. The result of this work will be used for data fusion with floating car data (FCD) and other traffic information in order to more accurately capture the current traffic situation of the city

Traffic Management in Hefei - Technical Development in Metrasys

Traffic management Tools are a vital element of the Metrasys project. Beside an overview on the whole project, the presentation will focus on this tools

Traffic Management in Hefei - Technical Development in Metrasys

Traffic management Tools are a vital element of the Metrasys project. Beside an overview on the whole project, the presentation will focus on this tools