Fundamentals of Traffic Operations and Control Nikolas Geroliminis FALL 2015.

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Presentation transcript:

Fundamentals of Traffic Operations and Control Nikolas Geroliminis FALL 2015

Course Information  Format: 2 hrs of lecture per week + 1 hour of exercise- laboratory per week (on average) Instructor in Charge Nikolas Geroliminis  Office: GC C2 389 phone: [021 69] Grading  Homeworks (2) 10% Labs (2) 25%  Mid-term 25% Final Exam 40% Textbook  Lecture notes, book chapters and handouts will be distributed throughout the semester, or posted on web. The team  Tasos Kouvelas, Reza Saeedmanesh, Claudia Bongiovanni, Nan Zheng

3 Smart and Complex Mobility LA, 1932

Educational Goals  High level of technical expertise to succeed in positions in transportation engineering practice/research in CH and worldwide  Produce engineering designs that are based on sound principles and consider functionality, safety, cost effectiveness and sustainability  Fundamental knowledge to pursue lifelong learning such as graduate work  Introduce the major elements of transportation and create awareness of the broader context  Develop basic skills in applying the fundamentals of the transportation field  Be prepared for further study in this field Course OBJECTIVES

Transportation Infrastructure  Critical Components of Transportation Infrastructure System Drivers Vehicles Roads and highways  Freeway system  Rural highway system  Arterial and street systems General environment Traffic control devices ITS infrastructures  Need tools to design, evaluate, and operate such complex systems.

Course description  Transportation Data Analysis and Performance evaluation Observation, Measurement, Stochastic Processes, Estimation methods;. Performance quality, Estimation of queue lengths, travel times, Estimation of emissions  Traffic Modeling How congestion changes over time and space at different levels of scale. Micro- (Car following), Meso- (Cell Transmission Model), Macro- (city level)  Control of Traffic Signals Schemes to affect traffic stream properties in some desirable way(s). Technology, Adaptive control, Coordination, Ramp metering  Intro to Logistics and Scheduled transportation systems Basic principles in operating fleets, Allocation of urban space, Instabilities, Intro to Travel Salesman Problem and Vehicle Routing Problem.

Data analysis

Different scales of traffic modeling Unite d Kingd om CarsPeds. Buses

Intro to Traffic Management Bus Priority Urban Space Allocation Traffic Signal Control Parking

Performance evaluation

Vietnam Scheduled Transportation Systems

Design of logistics systems Sorting Storage Handling inbound outbound Vehicle Routing Problem One-to-Many Many-to-Many

REVIEW OF TSE Class  Traffic Stream Characteristics  See Notes (Please review and come back with questions next week)

Urban Streets: Vehicle Trajectories

Headway and Spacing Definitions

Flow definition

Density Definition

Flow = density *+/- speed

Group of vehicles

Methods of Observation

TMS (v t ) and SMS (v s )

Characteristics of v,k,q

Some other data

A triangular FD

Input-Output Diagrams

Input-Output vs. Time-Space

Construct I-O curves  Given A(t), L, v f and μ (service rate)

I-O curves (Example of a traffic signal)

Generalized definitions of q and k

Exercise 1  Consider a single-lane road of length L=300m with a traffic signal at each end. Estimate the average link flow and density according to the generalized definitions for the following values:  Green=30sec, Red=30sec  Demand q=600veh/hr  Triangular FD with capacity=1800vh/hr, jam density=150vh/km, critical density=30vh/km

Problem 2: Passing rate formula  A vehicle travelling at speed v, overpasses a traffic stream travelling at speed v’ and density k’. Identify the passing rate (vehicles passing per unit time).