Course syllabus


ACE055 Advanced transportation engineering lp3 VT22 (7.5 hp)

Course is offered by the Department of Architecture and Civil Engineering

Course Description 

This is a 7,5 credits course and it is the advanced version of ACE050 Transportation Engineering and Traffic Analysis. The course includes both macroscopic and microscopic levels traffic analysis geared towards learning about traffic operations and safety. It has three components: Traffic Assignment Methodologies for Infrastructure Planning, Advanced Traffic Flow Models for Traffic Operations, and Advanced Models for Vehicle Routing. For the first component, transport planning models will be taught and a commercial simulation software will be used for solving large-scale transport network problems. In the second component, advanced queuing models and optimization methods will be introduced for traffic operations, with a focus on signalized intersections. Last but not the least, path-finding and vehicle routing algorithms will be introduced and practiced in a group project. The ultimate goal of the course is to deepen the understanding of transportation discipline, learn how to practice planning, operations, and design. The students will learn about the most up to date challenges that transportation engineers face in modern society, and the contemporary tools that can be developed and used to overcome those challenges.



Teaching schedule for ACE055 - 2022.pdf

Course Link

We recently had a lot of meetings and discussions on department and university levels regarding the teaching in spring under Covid. It turns out to be a difficult decision to make and should be course-specific in terms of whether to teach online or on campus. After checking the classroom assigned to our course, I found it relatively small (around 28 seats), and there is no way to keep a safe distance for everyone. Therefore, we decided to have the course online. Please use the following link to access the course.      Password: ACE055

As the situation and government recommendations are changing rapidly, we may switch to on-site education if we see it safe and necessary, such as Q&A sessions in small groups. We will let you know in advance when such on-campus teaching activities are arranged. 

Course Objectives

After learning this subject, the students are expected to be able to:

  • Conduct traffic assignment practices
  • Evaluate the performance of transport infrastructure
  • Optimize traffic control strategies for intersections
  • Design vehicle routing trajectories for freight distribution.

Learning materials

There is no textbook for this subject. Please use the handouts and tutorials that will be uploaded to Canvas.


10%: In-course exercise

50%: Two group-based projects, each account for 25%

40%: Final exam (open book)

Course Grading System for the Exam and the Whole Course

Fail: 0-59

3: 60-75

4: 76-90

5: 91 or above


Transportation planning: Transportation Planning Handbook 4th Edition by ITE (Institute of Transportation Engineers) (Author), Michael D. Meyer (Author)

Discrete Choice Analysis: Theory and Application to Travel Demand

Traffic assignment in large networks:

GitHub - ZhengLi95/User-Equilibrium-Solution: Program for obtaining the user equilibrium solution with Frank-Wolfe Algorithm in urban traffic assignment

Signalized intersection: Highway Capacity Manual (2010)

Shockwave theory: Introduction to Traffic Flow Theory. Victor L. Knoop. 

Queue model: Principles of Highway Engineering and Traffic Analysis. Fred L. Mannering, Scott S. Washburn

VRP: Vehicle Routing Problems, Methods, and Applications. Paolo Toth, Daniele Vigo. 


Jiaming Wu, Researcher, (Examiner and Contact person)

Kun Gao, Researcher,

Jie Zhu, Ph.D. student,

Ziling Zeng, Ph.D. student,  

Student Representatives

Frida Andersson         
Elias Chamoun           
Amrutha K J               
Bhanushree Munegowda 
Gustav Sjöbeck          

Course summary:

Date Details Due