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Related Experiment Video

Updated: Jul 31, 2025

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

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Published on: January 23, 2017

The optimal speed model based on minimum temporal and spatial energy consumption.

Bin Sun¹, Qijun Zhang², Chao Zou¹

¹Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China.

Environmental Science and Pollution Research International

|May 8, 2023

Summary

This summary is machine-generated.

Optimizing vehicle speed reduces traffic energy consumption. This study developed optimal speed models, showing significant improvements in speed, reduced delays, and lower energy use for urban road traffic strategies.

Keywords:

Energy conservation Model Optimal speed Traffic energy consumption Vehicle energy

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Area of Science:

Transportation Engineering
Energy Conservation
Vehicle Dynamics

Background:

Road traffic energy consumption is a significant environmental and economic issue.
Vehicle speed directly impacts energy efficiency and traffic flow.
Existing models may not fully capture optimal speed dynamics under various constraints.

Purpose of the Study:

To develop optimal speed models for vehicles based on energy conservation principles.
To determine optimal speeds that minimize temporal and spatial energy consumption.
To provide theoretical support for urban road traffic energy-saving strategies.

Main Methods:

Constructed the energy conservation equation for moving vehicles using the energy flow principle.
Developed optimal speed models considering road, vehicle, and environmental constraints.
Validated models using on-road experimental data.

Main Results:

Optimal speed models increased speed by 31.3% and decreased delay by 21.4%.
Vehicle energy consumption power reduced by 42.9%, and overall energy consumption by 36.7%.
Time-optimal speed minimizes power; space-optimal speed minimizes energy consumption.

Conclusions:

The derived optimal speed models effectively reduce vehicle energy consumption and traffic delays.
Optimal speed strategies can significantly enhance the efficiency of urban road traffic.
The findings support the implementation of data-driven energy-saving strategies in transportation systems.