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Initiative 1 – An integrated 3D spatial data infrastructure for autonomous vehicles and transportation services

For this research initiative, we aim to develop geo-referencing, mapping and 3D modelling technologies to support the future needs of cities, especially on autonomous vehicles and high definition (HD) urban maps for smart transport and services. New generation 3D maps are the foundational spatial data for autonomous driving. Comparing with current car navigation maps, the new generation 3D map should be High Definition (HD) urban maps with higher precision, higher resolution, higher level of detail, and higher-level temporal accuracy. Key research questions include positional accuracy for HD maps, 3D high definition maps for autonomous driving based on mobile mapping systems, and georeferencing for smart cities. This research provides fundamental 3D spatial data to the other research initiatives of the SCRI. This research initiative is led by LSGI.

Initiative 2 – Connected Vehicle-Infrastructure-Pedestrian (VIP) Environment for the complicated urban environment like Hong Kong

This research initiative aims to study the next-generation transport control – Connected Vehicle-Infrastructure-Pedestrian (VIP) Environment for the complex urban environment like Hong Kong. The entire system consists of 1) Vehicle-to-Vehicle (V2V) network: protocol and technologies to allow vehicles to “talk” to each other; 2) Vehicle-to-pedestrian (V2P) network: technologies that communicate among vehicles, pedestrians, bicyclists, people using wheelchairs etc. and 3) Vehicle-to-Infrastructure (V2I) network: instant update of road and traffic conditions with sensors installed on vehicles, for example, EE’s research on individual driver advisory. Research deliverables will support the developments of Smart Positioning and Navigation (Initiative 3). This research initiative is a collaboration between CEE, EE and LSGI.

Initiative 3 – Smart Positioning and Navigation Solutions for Complex Urban Environments (Applied Implementation Research)

This implementation research will produce an integrated indoor/outdoor smart positioning infrastructure and navigation services at the PolyU Hung Hom and HGBA campuses. With the increasing availability of indoor positioning technologies, the experiences of using outdoor routing and navigation shall be extended to the indoor environment. Since indoor and outdoor services rely on different foundation networks and positional technologies, those indoor and outdoor services are usually separated and create difficulties for users, especially the elderly and wheelchair users. With LSGI’s foundational research in Urban Positioning Infrastructure, this applied projects aims to produce an integrated 3D indoor and outdoor positioning and services, including AI algorithms handling the transitions of positioning services from / to indoor to / from outdoor environments that correspond to various user behaviors. For smart navigation, the research development will focus on 1) utilizing various sensors such as GPS, GSM, Wi-Fi, iBeacon, and Cameras embedded in smart devices to accurately measure locations and spatiotemporal distribution of the users; 2) employing AI to understand shared activities and interactions of the users; and 3) providing high-performance navigation for complex mixed indoor/outdoor environments, such as on campus and at the airport. This implementation research is a collaboration between AAE, EE and LSGI. Moreover, with EE and AAE’s previous research experiences, this project will also develop an integration localization solution including GNSS / INS / LiDAR and HD Maps for autonomous vehicles. The project will particularly study the reliability of autonomous vehicles in the urban environment of Hong Kong and GBA Cities.

Initiative 4 – Big data analytics for travel patterns and mobility behaviors of ageing populations in vertical cities (Applied Implementation Research)

In a high-rise city like Hong Kong, the ability of elderly people to move within and out of the home with relative ease has become ever more important for their health and quality of life. In this implementation research, we aim to develop novel applications that can reliably sense and analyze the mobility behaviors of voluntary users (e.g. elderly visitors of PolyU Hung Hom and GBA Campuses). First, we will produce a smart mobility survey system, where demographic and behavioral data of participants can be collected from smart phones in a semiautomatic and non-intrusive way. The smart phone-based mobility survey system will be able to collect important demographic and contextual information of participants before and during the survey, and capture travel behavioral and activity patterns of participants in complex urban environments through various sensors in the smart phones (e.g., GPS, accelerometer, and gyroscope). The collected information will be used to support applications and studies in social welfare, public health, transport planning, among others. Furthermore, to support Smart Urban Planning at community level, we will also produce a Mobility Impact Assessment (MIA) framework for assessing ageing-friendliness of building and community designs. The MIA framework will contribute to the design and planning of smart ageing friendly community. This research initiative is a collaboration among AMA, APSS, BRE and JC-DISI.