Course syllabus
Course-PM
ACE055 Advanced transportation engineering lp3 VT23 (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 focuses on some of the most practical problems and technologies. It has three components: Transportation Planning, Queue Models, and Path-finding & Vehicle Routing models. For the first component, transport planning models will be taught and commercial simulation software will be used for solving large-scale transport network problems. Such competence is crucial for consulting companies as well as regional and city offices. In the second component, advanced queuing models will be introduced for traffic operations. Queue estimation is the foundation of modern traffic system performance analysis and is thus highly desired by engineering and operational offices, such as Trafikverket in Sweden. 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, estimation, and optimization. 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.
Schedule
TIme and classrooms: https://cloud.timeedit.net/chalmers/web/public/ri1Y67y0Z65ZZ6Q3766617025Q06x3505gW650QQ067.html
Course Link
All lectures will be given in the classrooms (you can find classrooms in TimeEdit or the course schedule). Zoom recordings will also be provided but only for after-course review and self-learning reference. Therefore, the focus will be on students in the classroom and so does the course activities (e.g., games and blackboard demonstrations).
Zoom link: https://chalmers.zoom.us/j/4709127801 Password: ACE055
Course Objectives
After learning this subject, the students are expected to be able to:
- Conduct traffic assignment practices
- Evaluate the performance of transport infrastructure from queue perspectives
- Find the shortest path efficiently and optimally
- Design vehicle routing trajectories for freight distribution.
Learning materials
There is no exclusive textbook for this subject. Please use the slides and tutorials that will be uploaded to Canvas. The references (see below) could also be helpful for learning and getting more practice.
Assessment
10%: In-course exercise (on random days)
60%: Two group-based projects (25% for project one, and 35% for project two)
30%: Large homework
Course Grading System
Fail: 0-59
3: 60-75
4: 76-90
5: 91 or above
Reference
Transportation planning: Transportation Planning Handbook 4th Edition by ITE (Institute of Transportation Engineers) (Author), Michael D. Meyer (Author) https://silo.tips/download/the-four-step-model-uci-its-wp-michael-g-mcnallyLinks to an external site.
Discrete Choice Analysis: Theory and Application to Travel Demand https://mitpress.mit.edu/books/discrete-choice-analysisLinks to an external site.
Traffic assignment in large networks: GitHub - ZhengLi95/User-Equilibrium-Solution: Program for obtaining the user equilibrium solution with Frank-Wolfe Algorithm in urban traffic assignmentLinks to an external site.
Shockwave theory: Introduction to Traffic Flow Theory. Victor L. Knoop. https://victorknoop.eu/research/book/Knoop_Intro_traffic_flow_theory_edition2.pdf Links to an external site.
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. https://epubs.siam.org/doi/pdf/10.1137/1.9781611973594.fm Links to an external site.
Instructors
Dr. Jiaming Wu, Researcher, jiaming.wu@chalmers.se (Examiner and Contact person)
Dr. Kun Gao, Assistant Professor, gkun@chalmers.se
Ziling Zeng, Ph.D. student, ziling@chalmers.se
Student Representatives
Hayder Kareem Jabar Alshibly eng.hayder.alshibly@gmail.com
Pejman Hajibabaei pejman_hajibabaei@icloud.com
William Högefjord Kristiansson williamhk@hotmail.se
Louis Inkumsah louisinkumsah@hotmail.com
Natalie Smilevska natalie.smilevska1@gmail.com
Course summary:
| Date | Details | Due |
|---|---|---|