Recovery from the pandemic: Planning the reterritorialisation of agricultural activities

This chapter discusses planning the reterritorialisation of agricultural activities as an avenue of the Covid-19 pandemic recovery. Reterritorialisation indicates local food being targeted to local inhabitants instead of the global market. We argue that the pandemic has accelerated the reterritorialisation process. Supply chain actors actively...

General Optimal Trajectory Planning: Enabling Autonomous Vehicles with the Principle of Least Action

This study presents a general optimal trajectory planning (GOTP) framework for autonomous vehicles (AVs) that can effectively avoid obstacles and guide AVs to complete driving tasks safely and efficiently. Firstly, we employ the fifth-order Bezier curve to generate and smooth the reference path along the road centerline. Cartesian coordinates...

From Energyscape To Energy Justice: Rethink Approaches For A Just Energy Transition: Revitalize the neglected regions through integrated planning: a case study in Changhua, Taiwan

Taiwanese landscape has dramatically changed since 2018, when the Energy Transition White Paper was published. Due to the land limitation, the Taiwanese government has focused on the multifunctional use of land to create renewable energy and maintain the original activities on the ground at the same time, especially on agricultural lands....

Towards a Sustainable and Liveable Desakota: Designing for sustainable industry transition in the peri-urban territory of the Greater Bay Area

This thesis explores spatial strategies for achieving sustainable industry transition in the dispersed urbanised areas of the Greater Bay Area (GBA) in China. Since 1978, urbanisation in the GBA has accelerated, significantly expanding beyond metropolitan regions. These dispersed areas, described as the Desakota by Terry McGee, encompass a...

Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control

The autonomous vehicle is widely applied in various ground operations, in which motion planning and tracking control are becoming the key technologies to achieve autonomous driving. In order to further improve the performance of motion planning and tracking control, an efficient hierarchical framework containing motion planning and tracking...

Practice of Planning Coordination for Crossborder Spatial Governance in the Yangtze River Delta Region: A Transformative Analysis in Meta-Governance

Nowadays, city clusters have become an important spatial form in the process of global urbanization, characterized by contiguous development across provincial, municipal, and county administrative boundaries, given all-around cross-border circulation of socio-economic factors at the regional scale has become the trend. In order to pursue their...

Learning to Play Trajectory Games Against Opponents with Unknown Objectives

Many autonomous agents, such as intelligent vehicles, are inherently required to interact with one another. Game theory provides a natural mathematical tool for robot motion planning in such interactive settings. However, tractable algorithms for such problems usually rely on a strong assumption, namely that the objectives of all players in...

Frontier ocean thermal/power and solar PV systems for transformation towards net-zero communities

Ocean thermal and power energy systems are promising driving forces for seashore coastal communities to achieve net-zero energy/emission target, whereas energy planning and management on ocean thermal/power and distributed building integrated photovoltaic (BIPV) systems are critical, in terms of serving scale sizing and planning on...

Analysis of Urban Built Environment Impacts on Outdoor Physical Activities: A Case Study in China

Outdoor physical activities can promote public health and they are largely influenced by the built environment in different urban settings. Understanding the association between outdoor physical activities and the built environment is important for promoting a high quality of life. Existing studies typically focus on one type of outdoor activity...

A single-layer approach for joint optimization of traffic signals and cooperative vehicle trajectories at isolated intersections

A joint control approach that simultaneously optimizes traffic signals and trajectories of cooperative (automated) vehicle platooning at urban intersections is presented in this paper. In the proposed approach, the signal phase lengths and the accelerations of the controlled platoons are optimized to maximize comfort and minimize travel delay...

An optimal control approach of integrating traffic signals and cooperative vehicle trajectories at intersections

An integrated approach for optimising traffic signals and cooperative vehicle trajectories at urban intersections is proposed. The upper layer determines the optimal signals using enumeration and the lower layer optimises trajectories under each feasible signal plan. In the lower layer, platoon accelerations are optimised considering comfort...

The collaborative autonomous shipping experiment (Case): Motivations, theory, infrastructure, and experimental challenges

The future autonomous ships will be operating in an environment where different autonomous and non-autonomous vessels with different characteristics exist. These vessels are owned by different parties and each uses its owned unique approaches for guidance and navigation. The Collaborative Autonomous Shipping Experiment (CASE) aims at...

Agronomic Renaissance: Towards a socially fairer and circular agrifood system in the Amsterdam Metropolitan Area

The AMA region wants to make the transition towards a circular economy. To make the circular economy happen, social, environmental and economic challenges have to be integrated in the transition. This report will identify these challenges and propose a vision, a development strategy and projects/policies to propose a new system in the sector...

Construction robotics technologies 2030

The research explores the currently used construction robotic technologies in the Dutch construction industry (mainly in construction assembly and construction safety management), and the possible future landscapes of technical innovations in construction in 2030 (also in the two selected fields). The future study depends on experts interview...

Metaphorical and Analogical Thinking in Urban Design and Planning

Metaphorical and analogical thinking is a major aspect of how human intelligence tackles complex tasks in the discipline of urban design and planning. However, there is little research on this subject within urban design and planning, and the research approaches in closely related design disciplines lack a comprehensive view on its presence and...

"Improved geometric network model" (IGNM): A novel approach for deriving connectivity graphs for indoor navigation

Over the past few years Personal Navigation Systems have become an established tool for route planning, but they are mainly designed for outdoor environments. Indoor navigation is still a challenging research area for several reasons: positioning is not very accurate, users can freely move between the interior boundaries of buildings, path...

A "door-to-door" path-finding approach for indoor navigation

Indoor navigation is gaining an increasing interest among researchers in many domains. In many cases users need to orient quickly in complex environments, which is not always the target of current routing algorithms. The paper reviews current indoor path-finding approaches and discusses some of the limitations. In order to support a natural...