4166am金沙登录

Collaborative Undergraduate Program in Traffic and Transportation between BJTU and TU Delft


1.Program Introduction

The program adopts a Sino-foreign cooperative education model, which is jointly organized by the School of Traffic and Transportation of Beijing Jiaotong University and the Faculty of Civil Engineering and Geosciences of Delft University of Technology. It is the first Sino-foreign cooperative education program approved by the Ministry of Education in the undergraduate education of "Traffic and Transportation" specialty in Beijing. {Jiaowai Zonghan[2017]No.5}

2.Training mode and degrees

The program has four years of schooling, with students studying full-time at Beijing Jiaotong University for the first three years and going to Delft University of Technology for three months in the fourth year.

Students who have completed all the courses and graduation project in the major of traffic and transportation with qualified results will receive a Bachelor's degree in Engineering and a diploma from Beijing Jiaotong University, and a certificate of learning experience from Delft University of Technology

3.Curriculum setting

The core courses of this major include:

Management Operations Research, Road Engineering and Route Selection Design, Urban Public Transportation System Operation and Planning, Transportation Planning, Traffic Network Analysis and Design, Rail Transit Train Operation Organization, Traffic Engineering, Intelligent Transportation System, Traffic Safety Engineering, Traffic and Transport Economics, Transportation Ports and Hubs, Logistics and Supply Chain Management.

More than one-third of the total and core courses of this major are taught by teachers from Delft University of Technology

4.Tuition and fees

Tuition fee in China:

RMB 50,000 yuan/academic year. Domestic accommodation fee: The school has a unified arrangement, 750-1200 yuan per academic year depending on the accommodation conditions.

Tuition fee of Delft University of Technology:

In accordance with the fee standard of Delft University of Technology at that time, it is about 2500 euros/person/3 months. Accommodation can be either a university apartment or a rental house at your own expense

5.Regulations and rules

Upon admission, students will be admitted to Beijing Jiaotong University.

If students fail to meet the learning requirements of Beijing Jiaotong University and Delft University of Technology, the rules and regulations of two schools shall apply.

6.Entrance requirements

(1)In order to ensure that students can adapt themselves to the teaching in English, candidates should have a good foundation in English. In principle, the score of English in the College Entrance Examination is required to be no less than 70% of the full score.

(2)Students admitted to the Sino-foreign cooperative education program may not be transferred to a non-Sino-foreign cooperative education program after enrollment.

(3)Students with color blindness are not eligible for the application.

7.Career prospects

Delft University of Technology will accept 60% of the students in this Collaborative Program to study in the Netherlands for their master's degree, and the students enrolled must meet the entry requirements for a master's degree at Delft University of Technology. The remaining graduates can engage in technical, management and other work in domestic universities, enterprises and institutions with their excellent English ability, generous professional knowledge and rich life experience.

8.Program features

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Specialty   characteristics

 

 

 

 

Program   status

 

-The   first Sino-foreign cooperative education program approved by the Ministry of   Education in "Traffic and Transportation" in Beijing;

-As a   world-class university, Delft University of Technology ranked 54th   in QS World Rankings 2018, and 63rd in Times World University   Rankings;

-In QS   World University Rankings for Civil and Structural Engineering 2018, the   Faculty of Civil Engineering and Geosciences of Delft University of   Technology ranked 4th in the world;

-Delft   University of Technology is a first-class university as a foreign partner for   Sino-foreign cooperative education programs in China.

-In   ShanghaiRanking's Global Ranking of Academic Subjects 2018, the subject of   Transportation Science & Technology from Beijing Jiaotong University   ranked 1st;

-In the   first QS Mainland China University Rankings, Beijing Jiaotong University   ranked 29th.

 

Teachers   and scientific research

-More   than one-third of the total and core courses of this major are taught by teachers   from Delft University of Technology;

-Well-known   professors from both universities teach relevant courses to ensure the   quality of teaching;

-Teaching   Demonstration Center of national level;

-Graduation   project guided by two schools jointly.

 

Talent

training

-Abandon   the traditional translation-based English teaching mode and attach importance   to students' English thinking and ability training;

-Professional   courses taught in English are equipped with the tracking guidance of Chinese   cooperative teachers to realize Full-English teaching gradually.

 

Degree

awarding

-Students   who have completed all the courses and graduation project in the major of   traffic and transportation with qualified results will receive a Bachelor's   degree in Engineering and a diploma from Beijing Jiaotong University, and a   certificate of learning experience from Delft University of Technology.

Further  

study   and

employment

-Delft   University of Technology will accept 60% of the students in this   Collaborative Program to study in the Netherlands for their master's degree,   and the students enrolled must meet the entry requirements for a master's   degree at Delft University of Technology.

 9.Teachers Introduction

 

image002.jpg 

Bart van Arem, PhD, full professor. Bart van Arem was appointed full professor Transport Modelling at Delft University of Technology in 2009. He is head of the department Transport & Planning (20 permanent staff members, 50 Phd/postdoc researchers), member of the Management Team of the faculty of Civil Engineering and Geosciences and director of the TU Delft Transport Institute. He teaches Transport & Planning in the BSc course Introduction to Civil Engineering (450 students yearly) and is responsible teacher for the MSc course Intelligent Vehicles (30 students yearly). He yearly supervises some 10-15 MSc students in their final thesis and continuously supervise over 10 PhD candidates. From 2003-2012 he worked as part-time professor Applications of Integrated Driver Assistance at the University of Twente. His responsibilities included supervision of MSc and PhD students, acquiring research projects and giving 2 MSc courses on Intelligent Transport Systems. Throughout his academic career he has supervised 70 MSc students and 10 PhD researchers. From 1991-2009, he worked at TNO, the Netherlands, starting as an ITS researcher in the EU funded DRIVE program, later as a senior researcher and program manager traffic, transport and logistics at TNO. Bart van Arem has a MSc (1986) and PhD (1990) degree in Applied Mathematics at the University of Twente, the Netherlands.

image004.jpg       

Serge Hoogendoorn, PhD, full professor. The scientific work of Hoogendoorn evolves around traffic flow operations, modelling and simulation, and the management and control of these flows. Hoogendoorn acts as a mentor for the Delft Technology Fellowship scholarship. He was a founding member of the NEARCTIS Network of Excellence. He is a member of the International Advisory Committee of the ISTTT, and of several committees of the US National Academies Transportation Research Board. He is (one of the) editor(s) of the EURO Journal on Transportation and Logistics, of the European Journal of Transportation and Infrastructure Research; he has acted as (associate) editor of Transportation Research A and B, and the Journal of ITS (all are top journals in the Transportation domain). Hoogendoorn has acted as a member of numerous PhD committees (ICL, EPFL, Melbourne University, Napier University, KU Leuven, TU Twente, TU Eindhoven, VU Amsterdam, University Utrecht). He holds an honorary professorship from South-East University (Nanjing) since October 2013. He has have been awarded all personal grants and acted as a panel member for the VENI and the VICI grants, and for the ERC starting grants (2013, 2014). He has chaired multiple international top conferences, With 260 peer reviewed journal publications and an h-index of 25. Hoogendoorn has edited or (co-) authored 9 scientific booksalready 22 PhD students have graduated under his supervision.

image006.jpg

Marjan Hagenzieker is Professor at Delft University of Technology (DUT), PhD supervisor, PhD and Scientific Advisor at SWOV Institute for Road Safety Research. She has conducted research on a large variety of road safety topics, e.g., attention and distraction in traffic; the safety of vulnerable road users (e.g., elderly road users, moped riders and bicyclists); road user interactions with road infrastructure, in-vehicle technology and Advanced Driver Assistance Systems. She graduated in experimental psychology and received her Doctorate (PhD) at Leiden University. At DUT she teaches and co-ordinates the MSc Traffic Safety course, and also contributes to other courses, such as the MSc Intelligent Vehicles course. She is co-organizer of the Delft Road Safety Course for road safety professionals in Low and Middle Income Countries; and has participated in various EU funded projects in the area of road safety. She has (co)authored about 200 publications including journal articles, technical reports, book chapters and conference papers.

image008.png

Hans van Lint is Professor at Delft University of Technology (DUT), PhD supervisor, PhD. His research lies on the interface between travel and traffic flow theory & simulation and data assimilation techniques. Van Lint worked (with his PhD students and colleagues) on new methods to quantify travel time variability and reliability; on new multi-class macroscopic and microscopic traffic flow theories and models; on data assimilation methods for fusing heterogeneous traffic data and on Bayesian data assimilation methods for estimating and predicting the traffic state in networks including origin-destination matrices. Van Lint co-authored 51 journal articles and over 150 conference articles and book parts with his colleagues and PhDs. Van Lint is associate editor of the IEEE Transactions on ITS and Transportation Research Part C and member of two standing committees of the Transportation Research Board. He now manages the Delft integrated Traffic & Travel Laboratory (DiTTLab, www.DiTTLab.org). Van Lint is director of education of the interfaculty MSc programme transport, infrastructure and logistics (TIL), with a yearly influx of about 60 students the largest transport related Msc programme at TU Delft.

image010.jpg

Rob Goverde, PhD, an Associate Professor at the Department of Transport and Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technology. He has been affiliated with the Department of Transport and Planning since 1996 with an extensive expertise in railway operations. His main research interests include railway operations modelling and analysis, railway timetabling, real-time rail traffic management, train control, and railway safety and signalling. He has an MSc in Mathematics from Utrecht University and a PhD from Delft University of Technology. He is the author of more than 100 journal papers, book chapters, and peer reviewed conference papers. He is the head of the Railway Systems cluster of the TU Delft Transport Institute, board Member of the International Association of Railway Operations Research (IAROR), staff member of the TRAIL Research School, and member of the Editorial Advisory Board of the Journal of Rail Transport Planning and Management. Goverde has done consultant work for amongst others the Dutch Infrastructure Manager ProRail, the Netherlands Railways NS, the high-speed line HSL-Zuid project organization, the Ministry of Infrastructure and the Environment, and the Dutch Parliament. He has supervised 32 MSc students and 10 PhD students. He has taught 13 courses in BSc, MSc, PhD, and Professional Education programs, in the Netherlands, Germany, and France.

image012.jpg

Gon?alo Correia, PhD, Assistant Professor. His main research interest is on understanding transport systems and their relation to spatial organization in urban environments with the objective of sustainable development. He focuses particularly in the use of Transport Demand Management strategies and measures such as carpooling and carsharing. At the TU Delft he is looking at the impacts of automated driving in mobility and urban development. He participates in several committees of the Transportation Research Board and has participated in numerous research projects such as the InnoVshare and D2D100%EV. He has supervised successfully two PhD thesis and more than 20 master thesis. He is the author of 18 scientific publications in journals indexed in ISI, including Transportation Research Part B. In 2015 he won the Orange D4D (Data for Development) Challenge of using cellphone data to plan transportation networks in developing countries. He has taught 9 courses in bachelor and master program both in Portugal and the Netherlands in the fields of operations research and transport modeling.

image014.jpg

Haneen Farah, PhD, Assistant Professor. Her research interests focuses on traffic and road safety, road user behavior modelling, road geometric design, and vehicle technology. She has experience working in several European projects such as the TEMPUS IV HDMCuRF, COOEPRS and MULTITUDE. Currently at T&P department she is involved in several projects related to vehicles automation in relation to road design, road user behavior, and traffic safety, such as HFAuto, WEPod, and STAD project. She has been lecturing for more than 10 years, in different institutes, such as the Technion – Israel Institute of Technology, KTH - Royal Institute of Technology, Stockholm, Sweden and Delft University of Technology. At the T&P department she is the responsible lecturer for the Geometric Design of Roads and Railways Bachelor course. She is currently supervising 3 PhD students and several Master students. She has more than 25 scientific papers published in leading refereed international journals, such as Accident Analysis & Prevention, Transportation Research Part B.

image016.jpg

Oded Cats, PhD, an Assistant Professor at the Department of Transport and Planning at the Faculty of Civil Engineering and Geosciences at Delft University of Technology since 2014. He works on the modelling of urban public transport networks including bus, tram and metro, and their operations. His main research interest include the dynamics of public transport operations and demand, multimodal urban networks and simulation modelling and the impacts of reliability, congestion, disruptions and information on passengers’ decisions. His research activities often combine simulation, travel behaviour, network science, policy evaluation and performance measurement to support transport agencies and operators’ decision making. He is a member of the US Transport Research Board committee on Transit Management and Performance and Public Transportation Marketing and Fare Policy and organizes international courses on public transport planning. He currently leads the TRANS-FORM (Smart transfers through unravelling urban form and travel flow dynamics) and SCRIPTS (Smart Cities’ Responsive Intelligent Public Transport Systems) projects. He is the author of 22 scientific journal publications in journals, including transportation research part A and C,  Transport Policy, Networks and Spatial Economics and Journal of Transport Geography. He holds a dual-PhD from KTH Royal Institute of Technology, Sweden and Technion – Israel Institute of Technology. He has taught 8 courses in bachelor and master program both in the Netherlands and Sweden in the fields of network and transport modeling.

image018.jpg

Meng Wang was born on November 19, 1980 in Beijing, China. He received his Bachelor of Engineering degree from the Department of Civil Engineering, Tsinghua University in 2003 and his Master of Science degree from Research Institute of Highway (RIOH), Ministry of Transport in China in 2006, with specialisation in Transport Planning and Management. From 2006 to 2009, Meng worked as research associate and assistant researcher at National Engineering and Technology Centre for Intelligent Transport Systems (ITS) in RIOH. There he contributed to several projects funded by the Ministry of Science and Technology, Ministry of Transport, and local governments in China, varying from driver behavioural analyses, system architecture design and evaluation for Cooperative (Vehicle Highway) Systems, to ITS policy recommendations. In RIOH, he was also involved in international projects on potential cooperation in ITS between Europe and China, SIMBA and SIMBA II, funded by European Commission under the FP6 and FP7 programmes. From September 2009, he started working on his PhD project “Sustainability Perspectives of Cooperative Systems” funded by Royal Dutch Shell at the Department of Transport & Planning in TU Delft. He worked on the development of a model predictive control framework for a variety of autonomous and cooperative vehicle systems. During his PhD study, he also worked on two external projects, one funded by NAVTEQ and the other funded by the Dutch Ministry of Infrastructure and Environment. Apart from research, he also assisted in teaching a master course, supervised master students, and served as referees for international journals and conferences. He has published more than 20 papers in peer reviewed international journals and conferences and received the prestigious “Chinese Government Award for Outstanding Self-financed Students Abroad”. From May 2014, he starts working as a PostDoc researcher at the Automotive Group at the Department of BioMechanical Engineering in TU Delft on the project “Truck Merging Support – a Step towards Autonomous Driving” funded by the Dutch Technology Foundation (STW). From April 2015, he works as Assistant Professor at the Department of Transport & Planning, TU Delft, while remaining involved in projects related to automated driving systems at the Department of BioMechanical Engineering, TU Delft, as Guest Researcher. Meng’s main research interests are driver behaviour modelling, design and assessment of intelligent vehicle system for safe and efficient traffic, cooperative traffic systems.

image020.jpg

Yufei Yuan, PhD, a researcher at the department of transport and planning at the Faculty of Civil Engineering and Geosciences at Delft University of Technology. His research interest lies with traffic flow theory and simulation, data processing and analysis, traffic state estimation and prediction, network traffic management and analysis under normal conditions and evacuations, intelligent transportation systems. During the past years, he has been involved in several contract research projects at both national and international levels, which inspired his publications in peer-reviewed scientific journals (9 publications including IEEE-TITS and TR-Part C) and prestigious conferences (35 publications, 2 best paper awards). He has been serving as a reviewer (associate editor) for many international conferences and journals.

 

XML 地图 | Sitemap 地图