Program code: 081811T   Duration: 4 years

EducationalObjectives:

This major takes transportation theoreticalknowledge + digital innovation ability + system and AI thinking as themain line of education, and cultivates the three innovations(innovation, creation, and entrepreneurship) that meet the needs ofChinese-style modernization and future social and technological development,have a sense of family and country and an international vision, and haveexcellent three forces (learning, thinking, and action), andall-round development of morality, intelligence, physical fitness, art andlabor. Basic knowledge of vehicle-road co-simulation, master the basictheories, professional knowledge, engineering skills and continuous learningmethods of traffic engineering, and have the ability to solve complex problemsof modern comprehensive transportation.

After graduation, students will be able to engage inscientific research, technology development, engineering design, operationmanagement and teaching in the field of intelligent transportation technology.About 5 years after graduation, through further study or professional practice,the formation of systematic professional theoretical knowledge, teamwork,command and decision-making ability and engineer professionalism, competent inscientific research, product research and development, technical services andorganization and management in intelligent transportation and related fields,become a technical or management backbone with exquisite business andoutstanding innovation ability. The specific objectives are as follows:

Objective 1: Have good humanities literacy, socialresponsibility and environmental protection awareness, understand and be ableto correctly evaluate the impact of engineering practice activities on culture,health, safety, environment and social sustainable development, be familiarwith the laws and regulations of the industry in which they are engaged, andadhere to professional ethics.

Objective 2: To systematically master the basictheories and professional skills in the professional field of intelligenttransportation, have a solidprofessional theoretical foundation, broad professional knowledge, cross-integration of multidisciplinaryknowledge, practical ability and innovation ability, and be able to usemathematics, natural science, engineering basic theory, relevant knowledge andmodern tools in the professional field to propose effective solutions for thedesign, construction, management and other projects of the specialty. and havethe ability to obtain different levels of relevant registered professionalcertification qualifications.

Objective 3: Be a team player, able to workindependently, work together and organize and lead in a team in a professionalpractice and multidisciplinary context, and be able to effectively communicateand exchange with industry peers and the public on complex engineering problemsin their professional field.

Objective 4: Have an international vision,continuously expand and improve engineering literacy and professionalapplication ability, be able to track the development trends in the field ofintelligent transportation, acquire knowledge and update knowledge, and havethe ability to learn for life.

GraduationRequirements:

No1. Engineering knowledge: be able to apply mathematics, naturalsciences, computing, engineering fundamentals and professional knowledge tosolve complex engineering problems of intelligent transportation

No1.1 Be able to use thebasic knowledge of mathematics, natural sciences, computing and engineering, aswell as engineering expertise, to build models and solve complex engineeringproblems in intelligent transportation.

No1.2 Be able to applybasic knowledge of mathematics, natural sciences, computing and engineering, aswell as engineering expertise, to deduce and analyze complex engineeringproblems in intelligent transportation.

No1.3 Be able to applybasic knowledge of mathematics, natural sciences, computing and engineering, aswell as engineering expertise, to compare and synthesize solutions to complexengineering problems in intelligent transportation.

No2. Problem analysis: be able to apply the basic principles ofmathematics, natural sciences and engineering sciences to identify, express andanalyze complex engineering problems of intelligent transportation throughliterature research, and comprehensively consider the requirements ofsustainable development to obtain effective conclusions.

No2.1 Be able to use thebasic principles of mathematics, natural sciences and engineering sciences toidentify complex engineering problems in the field of intelligenttransportation in order to obtain valid conclusions and consider sustainabledevelopment holistically.

No2.2 Be able to use thebasic principles of mathematics, natural sciences and engineering sciences toformulate complex engineering problems in the field of intelligenttransportation in order to obtain valid conclusions and consider sustainabledevelopment holistically.

No2.3 Be able to use thebasic principles of mathematics, natural sciences and engineering sciences tostudy and analyze complex engineering problems in intelligent transportation,draw well-founded conclusions, and consider sustainable development as a whole.

No3. Design/development solutions: Able to design and develop solutionsfor complex engineering problems in intelligent transportation, design systems,units (components) or processes that meet specific needs, reflect innovation,and consider feasibility from the perspectives of health, safety andenvironment, life cycle cost and net-zero carbon requirements, law and ethics,society and culture.

No3.1 Be able to designand develop solutions for complex engineering problems in intelligenttransportation, and design solutions, algorithms, systems, units (components)or processes to meet specific needs, reflecting innovation.

No3.2 Be able to proposeeffective and practical solutions from the perspectives of health, safety andenvironment, life cycle cost and net zero carbon requirements, law and ethics,society and culture for complex engineering problems in Intelligent Transportation.

No4. Research: Able to study complex engineering problems in intelligenttransportation based on scientific principles and using scientific methods,including designing experiments, analyzing and interpreting data, and obtainingreasonable and effective conclusions through information synthesis.

No4.1 Be able to designand implement experiments for complex engineering problems in intelligenttransportation.

No4.2 Be able to analyzeand interpret the data and experiments involved in complex engineering problemsin intelligent transportation.

No4.3 In view of thecomplex engineering problems of intelligent transportation, effectiveconclusions are obtained through comprehensive information analysis.

№5. Use of modern tools: the ability to develop, select and useappropriate technologies, resources, modern engineering tools and informationtechnology tools for complex engineering problems in intelligenttransportation, including prediction and simulation of complex engineeringproblems, and understand their limitations.

No5.1 For the complexengineering problems of the intelligent transportation profession, be able todevelop appropriate technologies, resources, and modern engineering andinformation technology tools to carry out prediction and modeling, so as tosolve the complex engineering problems of the intelligent transportationprofession, and be able to analyze their limitations.

No5.2 Be able to selectand apply appropriate technologies, resources, and modern engineering andinformation technology tools, forecasting, and modelling to solve complexengineering problems in the intelligent transportation profession, and be ableto analyze their limitations.

№6. Engineering and Sustainable Development: When solving complexengineering problems in the field of intelligent transportation, students cananalyze and evaluate the impact of engineering practices on health, safety,environment, law, and economic and social sustainable development based onrelevant background knowledge of engineering, and understand theresponsibilities that should be assumed.

No6.1 When solvingcomplex engineering problems of intelligent transportation, be able to analyzeand evaluate the results of sustainable development based onengineering-related background knowledge, and be able to understand theresponsibilities that should be assumed.

No6.2 When solvingcomplex engineering problems of intelligent transportation, it is possible toreasonably analyze and evaluate the impact of engineering practices on health,safety, environment, law, and sustainable economic and social development.

№7. Engineering ethics and professional norms: have the awareness ofserving the country and benefiting the people, have humanities and socialscience literacy and social responsibility, be able to understand and practiceengineering ethics, abide by engineering professional ethics, norms andrelevant laws in engineering practice, and fulfill responsibilities.

No7.1 Have the awarenessof serving the country and the people through engineering, have humanities andsocial science literacy and social responsibility, be able to understand andpractice engineering ethics, and demonstrate the need to understand diversityand inclusion.

No7.2 Understand andmaster the scientific world view and methodology, have good ideologicalcharacter and social morality, abide by engineering professional ethics, normsand relevant laws in engineering practice, and fulfill responsibilities.

№8. Individuals and teams: Ability to take on the roles of individuals,team members, and leaders in teams in diverse, multidisciplinary contexts.

No8.1 Be able to take onthe role of an individual, a team member, in a diverse and inclusive team, aswell as in a multidisciplinary, remote and distributed environment.

No8.2 Be able to take onthe role of leader and function effectively in diverse and inclusive teams, aswell as in multidisciplinary, remote and distributed environments.

No9. Communication: Be able to effectively communicate and exchange withindustry peers and the public on complex engineering issues in the field ofintelligent transportation, including writing reports and design manuscripts,making statements, and clearly expressing or responding to instructions;Ability to communicate and communicate in cross-cultural contexts,understanding and respecting language and cultural differences.

No9.1 Be able toeffectively communicate and exchange with industry peers and the public oncomplex engineering issues in the field of intelligent transportation,including writing reports and design manuscripts, making statements, andclearly expressing or responding to instructions.

№9.2 In order tocommunicate effectively and inclusively with the engineering community andsociety as a whole in the complex engineering activities of the intelligenttransportation profession, be able to communicate and exchange in across-cultural context, and understand and respect language and culturaldifferences.

No10. Project Management: Understand and master the management principlesand economic decision-making methods related to engineering projects, and beable to apply them in a multidisciplinary environment.

No10.1 Understand andmaster the management principles and economic decision-making methods relatedto engineering projects in the professional field of intelligenttransportation.

No10.2 Be able to applythe knowledge of engineering management principles and economic decision-makingin the field of intelligent transportation to a multidisciplinary environment.

№11. Lifelong learning: have the awareness and ability of self-directedlearning, lifelong learning and critical thinking, and be able to understandthe impact of a wide range of technological changes on engineering and society,and adapt to new technological changes.

No11.1 Be able to recognizethe need for and be prepared for self-directed learning, lifelong learning andcritical thinking exercises.

No11.2 Be able to learnindependently, for lifelong learning and critical thinking.

No11.3 Be able tounderstand the impact of a wide range of technological changes on engineeringand society, and to think critically in the context of the broadest possibletechnological changes.

RelationshipMatrix between Educational Objectives and Graduation Requirements：

ProgramOverview:

Based on the training concept of newengineering, the intelligent transportation major builds across-integrated curriculum system of transportation + AI, focusingon cultivating interdisciplinary innovative talents with traffic big dataanalysis, autonomous driving technology, intelligent control algorithms, systemsimulation modeling and transportation planning and design. Graduates have thecore ability to solve complex engineering problems in the field of intelligenttransportation, and are competent for the whole chain of planning, design,construction, operation and maintenance, and technology research anddevelopment in the transportation industry.

Relying on the disciplinary advantages of the Departmentof Traffic and Transportation Engineering, this major is coordinated by thethree teaching and research departments of traffic engineering, transportationand road engineering, forming a talent training system with undergraduate,master's and doctoral degrees. The major construction is rooted in the twonational first-class undergraduate majors of traffic engineering andtransportation, and is equipped with 9 provincial and ministerial-level scientificresearch platforms such as the Modern Road Engineering Research Center and theIntelligent Transportation Technology Research Center of GuangdongUniversities, with a high-level faculty and advanced teaching and researchconditions. In the past 30 years, it has sent a large number of key talents inthe field of transportation to South China and even the whole country,established a good academic reputation and industry influence, and about 50% ofthe graduates have entered well-known universities at home and abroad forfurther study in the past five years.

Professionally build a global training network, establisha joint training mechanism with top universities in the United States, theUnited Kingdom, Australia, New Zealand and other countries, and create aninternational academic exchange platform. The main employment directions ofgraduates include: transportation management departments, intelligenttransportation enterprises, urban planning institutes and transportation bigdata service institutions, engaged in intelligent transportation system planning,digital twin platform construction, vehicle-road collaborative operationmanagement and new transportation infrastructure research and development.

Programfeatures:

1. Constructinga dual-driven curriculum system of Transportation x Intelligence,guided by the strategy of building a transportation powerhouse, grounded intransportation theories, and empowered by digital and intelligent technologies.

2. Implementingan in-depth collaborative education model of government, industry,academia, and research based on the Guangdong-Hong Kong-Macao Greater BayArea.

3. Implementinga diversified project-based cultivation throughout the whole process, featuringinterdisciplinary integration x empowerment of scientific andtechnological innovation platforms.

Degreesawarded:

Bachelorof Engineering

CoreCourses:

Introduction to Intelligent Transportation andDigital Construction, Traffic Engineering, Fundamentals of Traffic DataAnalysis, Engineering Mechanics I, Survey and Geometric Design of Road,Transportation Prediction Methods, Operations Research, Transportationplanning, Transportation Big Data and Machine Learning, Traffic Design, SmartPassenger Transport System, Traffic Control and Management, Smart Passenger TransportSystem, Technology of Autonomous Driving Systems, Traffic Safety

FeaturedCourses:

Freshman Seminar: IntelligentTransportation and Sustainable Development

SubjectFrontiers Courses: Transportation Big Dataand Machine Learning, Technology of Autonomous Driving Systems

CoursesTaught in English: Advanced GeographicInformation Systems, Transportation Infrastructure Surveying and DigitalModeling

Interdisciplinary courses: TransportationBig Data and Machine Learning, Deep learning, Low Altitude Traffic SystemManagement and Applications, Sensing and communication of connected trafficsystems

Bachelor-Master’s Sharing Courses:Transportation Safety Smart Management, Advanced Geographic Information Systems

EntrepreneurshipCourses: Professional internship

Innovation Practice Course: TransportationSystem Simulation and Application Practice, Fundamentals of Traffic DataAnalysis Experiment, Course Design for Traffic Design, Course Design forTransportation Planning, Course Design for Traffic Control and TrafficManagement

Entrepreneurship Education Course:Technology of Autonomous Driving Systems

Special design courses: Course Design forSmart Passenger Transport System, Course Design for Modern logisticsorganization and scheduling, Course Design for Road Survey and Designcurriculum design

Education onThe Hard-Working Spirit: Military Training,Engineering Training I, Cognitive Internship, Professional internship

Practical Training: ComprehensiveExperiment on Intelligent Transportation, Social Practice on IntelligentTransportation, Marxism Theory and Practice

1.Course Credit Registration Forms

(1) Credits Statistics Form 1

Note: Students are required to completethe required credits of the professional teaching plan upon graduation, andobtain 7 credits of humanities quality education and 4 credits of innovationability cultivation in the second classroom.

(2) Category Statistics Form 2

Note: 1. Generaleducation courses are selected as one of the courses;

2. The experimentalteaching hours in this table include experiments, internships and othersin the professional teaching plan;

3. Innovation andentrepreneurship education credits: The courses in the training plan shall berecognized by the teaching steering committee of each department, including thecredits of the combination of competition and education, innovation practice courses,and entrepreneurship education courses;

4. Compulsory hours +elective hours = total number of hours; Theoretical teaching hours +experimental teaching hours = total teaching hours; Compulsory Credits +Elective Credits = Total Credits; Concentratedpractice teaching link credits + theoretical teaching credits + experimentalteaching credits = total credits.

2.Curriculum Structure Table

Note: The rest of the class hours can be computer andpractical hours.

2.Courses Schedule (continued)

  Note: The rest of the class hours can be computer andpractical hours.

Students apply for conversion into certaincredits for professional elective courses (innovative research training,innovative research practice) according to their own scientific researchtraining projects, discipline competitions, published papers, patents andindependent entrepreneurship I, innovative research practice II, entrepreneurship practice and other innovation andentrepreneurship courses). The total number of credits for each student'sapplication for major electives shall not exceed 4 credits. Projectsand competitions that have been approved by the university as elective creditswill no longer receive innovative credits corresponding to the secondclassroom.

3.Practice-concentrated Training