INTELLIGENT TRANSPORTATION ENGINEERING

In the context of the rapidly developing 4.0 technology, the Intelligent Transportation Engineering major emerges as a field full of potential and opportunities. By integrating artificial intelligence, big data, and automated control systems, this major not only helps improve traffic efficiency and safety but also enhances the quality of life. Let's explore the fascinating aspects of this major and find out who is best suited to pursue it.

Program Introduction

The Intelligent Transportation Engineering program is an emerging engineering discipline in recent years. It primarily studies the theories and applications of intelligent transportation systems, including traffic information perception, traffic control optimization, traffic safety management, and more. 

This program involves multidisciplinary knowledge from transportation engineering, information science, computer science, artificial intelligence, and aims to cultivate high-level technical talents with capabilities in designing, developing, and applying intelligent transportation systems.

Training Objectives

This program aims to cultivate:

• Individuals with socialist core values,
• Adaptability to the development needs of the social economy and the intelligent transportation engineering field,
• Solid foundation in mathematics, natural sciences, and engineering,
• Necessary foundational knowledge in civil engineering, information and control technology, economics, and management,
• Systematic knowledge and abilities in intelligent transportation engineering,
• Good scientific cultural literacy and innovative consciousness,
• Sound personality and healthy body and mind,
• High social responsibility and professional ethics,
• Strong communication skills, cultural inclusiveness, teamwork, and lifelong learning abilities,
• Specialized knowledge and skills in intelligent transportation engineering,
• Professional technical talents capable of scientific research, planning, design, and operation management in the field.

Graduates should possess strong learning ability and teamwork spirit, solid theoretical knowledge and engineering foundation, familiarity with modern professional technical tools, mastery of methods for analyzing and evaluating engineering practices in social, health, safety, cultural, legal, and environmental aspects, and be able to engage in research, planning, design, operation, and technical management work in the intelligent transportation engineering field with an international perspective, coordinating the development of knowledge, abilities, and qualities.

Graduates are expected to become high-quality backbone talents in society and their expected job positions within the field, reaching the level of practicing engineers approximately five years after graduation.

Graduation Requirements

Graduates should master the following knowledge and abilities:

• Moral Cultivation: Understand and master a scientific worldview and methodology, possess good moral character and social ethics, have patriotism and social responsibility, and be able to practice socialist core values.
• Engineering Knowledge: Apply mathematics, natural sciences, engineering fundamentals, and professional knowledge to solve complex engineering problems in the field of intelligent transportation engineering.
• Problem Analysis: Apply basic principles of mathematics, natural sciences, and engineering sciences to identify, express, and analyze complex engineering problems through literature research to obtain effective conclusions.
• Design/Develop Solutions: Design solutions for complex engineering problems in the field of intelligent transportation engineering, design systems, transportation infrastructure, and intelligent transportation engineering organization schemes that meet specific needs, and demonstrate innovative consciousness in the design process, considering social, health, safety, legal, cultural, and environmental factors.
• Research: Conduct research on complex engineering problems in intelligent transportation engineering based on scientific principles and methods, including designing experiments, analyzing and interpreting data, and obtaining reasonable and effective conclusions through information synthesis.
• Use Modern Tools: Develop, select, and use appropriate technologies, resources, modern engineering tools, and information technology tools for complex engineering problems, including prediction and simulation of complex engineering problems, and understand their limitations.
• Engineering and Society: Conduct reasonable analysis based on engineering-related background knowledge, evaluate the impact of professional engineering practices and solutions to complex engineering problems on society, health, safety, legal, and cultural aspects, and understand the responsibilities to be undertaken.
• Environment and Sustainable Development: Understand and evaluate the impact of engineering practices on the environment and social sustainable development for complex engineering problems.
• Professional Norms: Possess humanistic and social science literacy, social responsibility, understand and adhere to engineering professional ethics and norms in engineering practice, and fulfill responsibilities.
• Individual and Team: Play the role of individual, team member, and leader in a team with a multidisciplinary background.
• Communication: Effectively communicate and exchange with industry peers and the public on complex engineering problems, including writing reports and design documents, making presentations, clearly expressing or responding to instructions, and having an international perspective to communicate and exchange in a cross-cultural context.
• Project Management: Understand and master engineering management principles and economic decision-making methods, and apply them in a multidisciplinary environment.
• Lifelong Learning: Have the awareness of autonomous learning and lifelong learning, and the ability to continuously learn and adapt to development.

Core Courses

• Fundamentals and Applications of Artificial Intelligence
• Signals and Systems
• Principles of Automatic Control
• Intelligent Transportation Perception Technology
• Intelligent Transportation System Design and Integration
• Traffic Control and Optimization
• Fundamentals of Computational Intelligence
• Traffic Big Data and Distributed Computing Technology
• Traffic Safety Engineering
• Transportation Organization

Research Directions

• Theories and Methods of Intelligent Transportation Systems
• Traffic Information Perception Technology
• Traffic Control Optimization Algorithms
• Traffic Safety Management Systems
• Traffic Big Data Analysis

Degree Awarded 

Graduates of this program are awarded a Bachelor of Intelligent Transportation Engineering.

Career Development 

Graduates can work in fields such as transportation, information communication, urban planning, and more, engaging in:

• Intelligent Transportation System Design and Development
• Traffic Information Perception and Analysis
• Traffic Control System Optimization
• Traffic Safety Management System Construction
• Traffic Big Data Applications

Related Majors

• Transportation
• Traffic Engineering
• Navigation Technology
• Marine Engineering
• Flight Technology
• Transportation Equipment and Control Engineering
• Rescue and Salvage Engineering
• Ship Electronic and Electrical Engineering
• Rail Transit Electrical and Control
• Cruise Engineering and Management
• Smart Transportation

Ranking of Schools Offering Intelligent Transportation Engineering

1. Beijing Jiaotong University
2. Inner Mongolia Agricultural University