Related Experiment Video
Updated: Aug 26, 2025
11:53
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
13.0K
Research on urban path selection of construction vehicles based on bi-objective optimization
1Evergrande School of Management, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Plos One
|October 6, 2022
Summary
This study optimizes construction vehicle routes, balancing efficiency and safety. The developed model effectively reduces travel time and accident risk, improving urban traffic management.
Area of Science:
- Urban planning and transportation engineering
- Traffic safety and risk management
- Operations research and optimization
Background:
- Urban construction projects increase traffic accidents due to large vehicle volumes.
- Current traffic management struggles to mitigate risks associated with construction vehicles.
Purpose of the Study:
- To develop a bi-objective optimization model for construction vehicle transportation path selection.
- To balance transportation efficiency and safety for construction vehicles in urban areas.
Main Methods:
- Established a bi-objective optimization model with constraints (height, weight, speed, direction, traffic).
- Utilized a genetic algorithm to solve the optimization model.
- Conducted case analysis and adjusted user preferences for model validation.
Main Results:
- The model successfully optimizes transportation vehicle paths.
- Optimal routes reduced travel time by 16% (vs. safest) and increased risk by 7.4%.
- Conversely, routes increased travel time by 5% (vs. shortest) while decreasing risk by 15.4%.
Conclusions:
- The optimization model effectively balances travel time and safety preferences.
- Stakeholder acceptance of optimized routes is high.
- Integrating path optimization into construction vehicle management is crucial for improving urban traffic safety.
Related Concept Videos
01:17Design Example: Alignment of a Road Line Using GIS
98
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
98
01:17Rolling Resistance: Problem Solving
418
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
418
01:21Distributed Loads: Problem Solving
700
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
700
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
98
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
98
01:09Decision Making: P-value Method
5.6K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.6K
01:34Woodward–Hoffmann Selection Rules and Microscopic Reversibility
3.2K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.2K