Urban Transportation & Construction (E-Journal)
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Advances in Travel Time Uncertainty for Transportation Network Optimization
Travel time uncertainty poses a critical challenge for optimizing transportation networks, especially in time-sensitive scenarios
like commuting and logistics. Key advancements involve developing reliability indicators such as Reliability Premium, Mean Excess Travel
Time, scheduling-based utility functions, and entropy-based metrics. Optimization strategies have evolved from mean-variance models to
stochastic user equilibrium formulations, bi-level programming, and reinforcement learning. Behavioral modeling now incorporates risk attitudes, multi-criteria preferences, and strategic user interactions. Future research should focus on multimodal coordination, real-time adaptive
control, and personalized routing under uncertainty
Protection of Rural Red Revolutionary Heritage Sites from the Perspective of Territorial Spatial Planning: A Case Study of Wan’an County, Jiangxi Province
The protection of rural red revolutionary heritage sites must overcome three major challenges: gaps in planning, spatial conflicts,
and failures in implementation. Using Wan’an County in Jiangxi Province as a case study, this paper argues that, within the framework of territorial spatial planning, establishing a comprehensive protection register to confer legal status, applying a negative-list approach for precise
spatial governance, and creating a homestead land-replacement mechanism to balance stakeholders’ rights can effectively address these challenges. Together these measures form a “planning–control–implementation” closed loop that promotes the integration of rural historical site
protection into the spatial governance system underpinning rural revitalization
Degradation Mechanism and Performance Evaluation of Composite Chlorine Dioxide Blockage Relieving Agent
Composite chlorine dioxide blockage relieving agent is a new type of well blockage relieving agent. It has strong abilities to oxidatively degrade polymers, kill microbial cells, dissolve sulfides, and dissolve inorganic salt minerals, which can effectively relieve blockages
in crude oil extraction channels. This paper introduces the properties of chlorine dioxide and its blockage relieving mechanism, and evaluates
its performance through viscosity reduction experiments, corrosion inhibition tests, clay stability tests, and bactericidal experiments
UKF Prediction Assisted UAV Sensing and Communication Optimization Design for Air-Ground Networks
This paper studies the joint design of sensing and communication in air-ground networks, where multiple unmanned aerial vehicles
(UAVs) cooperate to assist the base station in sensing and serving mobile users. To improve the sensing accuracy, we propose an unbiased
Kalman filter (UKF) based UAV sensing scheme. The performance of communication and sensing is characterized by the downlink communication rate and the Cramer-Rao lower bound (CRLB) of the user location estimation, respectively. To maximize the downlink communication rate while accurately tracking the user’s location, this involves solving the user association and UAV trajectory optimization problems.
In particular, we formulate the joint optimization problem as a mixed integer non-convex optimization problem, which is difficult to solve.
To address this problem, we first derive the CRLB in a closed form based on the user’s state prediction. Then, the original problem is decomposed into two sub-problems, one corresponding to the optimization of user association and the other one about the optimization of UAV
trajectory. An iterative algorithm is introduced to optimize the two sub-problems alternately using a relaxation-based method and a continuous convex approximation method. Comparisons with existing algorithms verify that our designed scheme can achieve superior performance
improvements in user tracking and communication
Design method of electric vehicles based on the concept of sustainable development
With the improvement of global environmental awareness and the intensification of the energy crisis, electric vehicles, as an important choice for green travel, have gradually become a trend in the development of modern transportation. This paper aims to explore the
design method of electric vehicles based on the concept of sustainable development, focusing on the key principles of energy saving and
environmental protection, resource utilization and circular economy, user safety and comfort in the design process. The study also involves
aspects such as material and technological innovation, life cycle assessment and environmental impact analysis, and proposes a set of systematic design frameworks to provide theoretical support and practical guidance for the innovative design of electric vehicles. Through a
comprehensive analysis of electric vehicles, this paper provides valuable references for the industry and promotes the development of electric
vehicles in a more efficient, environmentally friendly and sustainable direction. Finally, the study emphasizes the importance of green design
concepts to the design of future electric vehicles, and looks forward to the potential of intelligence and technological innovation in promoting
the construction of sustainable transportation systems
Coupling Mechanism of Engineering Quality Risk Prevention and Control with Schedule Optimization in Real Estate Development Projects
In real estate development projects, engineering quality and construction progress are the core elements that affect the success or
failure of the project. The imbalance between the two can easily lead to problems such as resource waste and cost overruns. This article is
based on systems theory and full lifecycle management theory, analyzing the interaction between quality risk and project schedule, and constructing a coupling mechanism between quality risk prevention and schedule optimization. Through integrated goal coordination, dynamic
information linkage, and proactive risk warning and intervention, the coordinated promotion of the two is achieved. The research aims to provide theoretical support and practical reference for balancing quality and schedule in real estate development projects and improving project
management efficiency
Interpolation management and control model and progress improvement and efficiency analysis of lean construction under the new system
Aiming at the quality and efficiency bottleneck of traditional extensive construction mode, this paper deeply studies the interspersed management and control model based on lean construction under the new system. The new system takes the technological innovation
of “aluminum mold+all-steel climbing frame+high-precision block+thin plastering” as the core, and combines the pre-judgment of contract
with the deepening of design to solve the common quality problems from the source. On this basis, an interpenetration control model based
on “process overlapping in climbing frame” is constructed. Through the practical logic of spatial stratification and time overlapping such as
“installation of N-layer main body and N-2-layer window frame”, the collaborative interface design and guarantee mechanism of various professions is clarified. This paper quantitatively analyzes the remarkable achievements of the new system in terms of schedule, quality and cost,
and extracts the key success factors such as project department leading, process adaptation and risk pre-positioning, which provides practical
experience that can be applied and replicated for the transformation and upgrading of the construction industry
Vehicle Stability Study Based on Active Sway Bar
Vehicle stability refers to the smooth performance and handling performance of vehicles under different road conditions and driv_x005fing states. The in-depth study of vehicle stability can provide guidance and reference for vehicle manufacturers and drivers, improve vehicle
safety and handling. The vehicle stability problem has been effectively solved through different technical means and control strategies, however, there are still some challenges and problems to be solved, such as, under extreme conditions, there is still some uncertainty in vehicle
stability. In this paper, the lateral stability of active sway bar is analyzed, and the application and control principle of improving lateral stability are discussed
Urban Planning Path Selection Based on the Concept of Eco-City
With the development of social economy, people pay more attention to the integration of human and nature, pay more attention to
the construction of urban ecological environment, and put material civilization and ecological civilization in the same important position.
Therefore, the concept of ecological city has become an important part of the current urban planning and design. However, in the actual ur_x005fban planning and design, the application of the eco-city concept still has certain problems, resulting in the protection of natural resources in
the urban planning and design of the situation is not enough. In this paper, we will analyze the path of urban planning based on the eco-city
concept, and fully combine the principles of the eco-city concept to analyze the path of urban planning
Optimization of Logistics Recycling Network for New Energy Vehicle Batteries in Uncertain Environments
The new energy vehicle industry is developing rapidly, and discarded new energy vehicle power batteries need to be recycled and
reused. This study proposes a new comprehensive new energy battery recycling model, establishes a new energy vehicle power battery re_x005fcycling network model considering uncertain conditions, and combines the advantages of taboo search algorithm and genetic algorithm to
design a new hybrid algorithm for solving, verifying the effectiveness and correctness of the model