Stereo garage parking space allocation model and simulation analysis

Based on grey neural network and particle swarm optimization algorithm,an automated stereo garage decision model is proposed to solve the problems of long waiting queue and low efficiency of automated parking garage.The gray neural network is used to forecast the stay time of the vehicle and particle swarm optimization algorithm is used to allocate the parking spaces in the stereo garage.The proposed stereo garage mathematical model is established on condition that vehicle arrival interval obeys Poisson distribution.The performance of stereo garage is evaluated by the average waiting time,average waiting queue length,average service time and average energy consumption of the customers.By comparing the efficiency indexes of the existing model based on near-distribution principle and the proposed model based on gray neural network and particle swarm algorithm,it is proved that the proposed model based on gray neural network and particle swarm algorithm is effective in improving the efficiency of garage operation and reducing the energy consumption of garage.

Study on the Effect of Reducing Haze by Urban Greening Trees

Although small in size, PM25 can do great harm to the environment, and city greening trees can reduce PM2.5 pollution to a certain extent. This paper reviewed the mechanism of city greening trees to reduce PM2.5 pollution, screening and classification of green land allocation model of PM2.5 reducing greening trees, and made prospect on how to construct the evaluation index system of PM2.5 re- ducing greening trees and urban green land allocation.

Fuzzy Optimization of Storage Space Allocation in a Container Terminal

A fuzzy optimization model of storage space allocation is proposed,and a rolling-planning method is derived. The model takes the uncertainty of departure time of import containers and arrival time of export containers into account. For each planning horizon,the problem is decomposed into two levels: the first level minimizes the unbalanced workloads among blocks using hybrid intelligence algorithm;based on block workloads allocated in the above level,the second level minimizes the number of blocks to which the same group of import containers are split. Numerical results show that the model reduces workload imbalance,and speeds up the vessel loading and discharging process.

Designing user-centric transport strategies for urban road space redistribution

Cities worldwide are geared to promote economic growth,improve accessibility,address environmental issues,and enhance the quality of life.However,the processes that lead to the design of urban roads,particularly the space distribution,reflect the inequalities existing in the fabric of our society.Motorists often have shorter travel time and more space than passengers of other modes.Furthermore,the existing transport appraisal and planning tools that frame sustainable transport policies fall short of considering the dimension of social justice.Therefore,our urban transport systems are essential areas for advancing sustainability through a transport justice-based approach to planning that can pivot the distribution of infrastructure investments over different social groups and transport modes.This study proposes such an approach by which such suitable urban transport strategies can be identified,co-created with users and appraised while considering the commuters’needs.Specifically,the interaction between the multidimensional characteristics of sustainability and the principles of transport justice are investigated.The proposed approach is applied to London and Birmingham.The results show that a transparent and holistic approach to integrating users within transport planning is an effective way to reflect diverse needs and local circumstances and thereby ensure a just transition to sustainable urban transport policies.The results from the case studies highlight a strong rationale for the centrality of justice in any urban transport planning and policy making efforts,particularly in the allocation of road space.