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TRAFFIC MANAGEMENT AND SUSTAINABLE MOBILITY

Roberta DI PACE TRAFFIC MANAGEMENT AND SUSTAINABLE MOBILITY

0622100069
DEPARTMENT OF CIVIL ENGINEERING
EQF7
CIVIL ENGINEERING
2023/2024

OBBLIGATORIO
YEAR OF COURSE 1
YEAR OF DIDACTIC SYSTEM 2022
AUTUMN SEMESTER
CFUHOURSACTIVITY
660LESSONS
ROBERTA DI PACE T Curriculum
Objectives
EXPECTED LEARNING OUTCOMES AND SKILLS TO BE ACQUIRED:
ACQUISITION OF THE THEORETICAL AND APPLICATIVE CHARACTERISTICS OF ADVANCED TOOLS FOR TRAFFIC MANAGEMENT E
THE IMPLEMENTATION OF SUSTAINABLE MOBILITY SOLUTIONS IN BOTH URBAN AND SUBURBAN AREAS, WITH EXTENSION
TO THE FIELDS OF APPLICATION OF INTELLIGENT TRANSPORTATION SYSTEMS AND OF
COOPERATIVE, CONNECTED AND AUTOMATED MOBILITY (COOPERATIVE CONNECTED AND AUTOMATED MOBILITY).
KNOWLEDGE AND UNDERSTANDING:
UNDERSTANDING OF THE PROPERTIES OF MODELS AND METHODS FOR TRAFFIC MANAGEMENT AND THE IMPLEMENTATION OF
SUSTAINABLE MOBILITY SOLUTIONS.
ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING:
ABILITY TO DEFINE TRAFFIC MANAGEMENT STRATEGIES, TO IDENTIFY SUSTAINABLE MOBILITY SOLUTIONS, AND TO
EVALUATE THE EFFECTS OF INTERVENTIONS ON A TRANSPORT SYSTEM.
MAKING JUDGMENTS:
KNOW HOW TO IDENTIFY MODELS AND METHODS FOR THE IMPLEMENTATION OF TRAFFIC MANAGEMENT STRATEGIES AND SOLUTIONS
OF SUSTAINABLE MOBILITY, MORE APPROPRIATE THAN THE TRANSPORT SYSTEM TO BE ANALYSED.
COMMUNICATION SKILLS:
KNOWING HOW TO WORK IN A GROUP, DRAW UP A TECHNICAL REPORT AND PRESENT IT ORALLY.
ABILITY TO LEARN:
KNOWING HOW TO APPLY THE KNOWLEDGE ACQUIRED AND KNOWING HOW TO INDEPENDENTLY LEARN THE NEW EVOLUTIONS OF
KNOWLEDGE.
Prerequisites
NONE
Contents
1.1 NON-STATIONARY MODELS FOR TRAFFIC ANALYSIS: MACRO, MICRO AND MESOSCOPIC MODELS THEORETICAL LESSONS: 7 HOURS, LABORATORY LESSONS: 3 HOURS.

2.1 REGULATION OF ROAD INTERSECTIONS: INTRODUCTION
THEORETICAL LESSONS: 1 HOUR.

2.2 ANALYSIS WITH KNOWN FLOWS OF INTERSECTIONS WITH FIXED SIGNALS
THEORETICAL LESSONS: 2 HOURS. LAB LESSONS 1 HOUR.

2.3 ANALYSIS AND DESIGN WITH KNOWN FLOWS OF TRAFFIC LIGHT INTERSECTIONS (WITH VARIABLE SIGNALS): BASIC ELEMENTS
THEORETICAL LESSONS: 2 HOURS, LABORATORY LESSONS: 1 HOUR.

2.4 ANALYSIS AND DESIGN WITH KNOWN FLOWS OF TRAFFIC LIGHT INTERSECTIONS (WITH VARIABLE SIGNALS): BASIC METHODS, WEBSTER'S METHOD,
THEORETICAL LESSONS: 3 HOURS, LABORATORY LESSONS: 2 HOURS.

2.5 ANALYSIS AND DESIGN WITH KNOWN FLOWS OF TRAFFIC LIGHT INTERSECTIONS (WITH VARIABLE SIGNALS): SINGLE INTERSECTIONS - PHASE DURATION OPTIMIZATION
THEORETICAL LESSONS: 3 HOURS, LABORATORY LESSONS 2 HOURS.

2.6 ANALYSIS AND DESIGN WITH KNOWN FLOWS OF TRAFFIC LIGHT INTERSECTIONS (WITH VARIABLE SIGNALS): SINGLE INTERSECTIONS: OPTIMIZATION OF THE DURATION AND TIME-SCHEDULE OF VERDI TIMES
THEORETICAL LESSONS: 5 HOURS, LABORATORY LESSONS: 3 HOURS.

3.1 ANALYSIS AND DESIGN WITH KNOWN FLOWS OF TRAFFIC LIGHT INTERSECTIONS (WITH VARIABLE SIGNALS): NETWORK INTERSECTIONS - GREEN WAVE METHOD - COORDINATION AND SYNCHRONIZATION
THEORETICAL LESSONS: 5 HOURS, LABORATORY LESSONS: 3 HOURS.

4.1. METHODS FOR REAL-TIME TRAFFIC CONTROL THEORETICAL LESSONS: 5 HOURS, LABORATORY LESSONS: 3 HOURS.

5.1 ANALYSIS OF THE IMPACT (CONSUMPTION AND EMISSIONS) AND OF ACCIDENTS FROM ROAD TRAFFIC.
THEORETICAL LESSONS: 3 HOURS, LABORATORY LESSONS: 2 HOURS.

6.1 ADVANCED METHODS FOR TRAFFIC CONTROL: INTELLIGENT TRANSPORT SYSTEMS - COOPERATIVE, CONNECTED AND AUTOMATED MOBILITY THEORETICAL LESSONS: 2 HOURS

7.1 STRATEGIES AND POLICIES FOR SUSTAINABLE MOBILITY THEORETICAL LESSONS: 3 HOURS
Teaching Methods
THE COURSE, 6 CFU, CONSISTS OF 40 HOURS OF THEORETIC LESSONS AND 20 HOURS OF LABORATORY, DURING WHICH TECHNIQUES FOR APPLYING METHODS LEARNED DURING THE THEORETIC LESSONS TO REAL CASE ARE PRESENTED. ACCORDING TO UNIVERSITY RULES ATTENDANCE IS NOT MANDATORY.
Verification of learning
THE EXAM INVOLVES AN SINGLE ORAL TEST, LASTING ABOUT 30 MINUTES, AFTER THE END OF THE COURSE; THE ORAL TEST CONSISTS OF A DISCUSSION CONCERNING THE THEORETICAL AND METHODOLOGICAL CONTENTS OF THE PROGRAM A PRELIMINARY AND A POSSIBLE PRESENTATION OF THE WORK DONE DURING THE COURSE; IT IS AIMED AT VERIFYING THE LEVEL AND QUALITY OF KNOWLEDGE AND UNDERSTANDING ACQUIRED BY THE STUDENT, THE EXPOSING SKILL USING THE APPROPRIATE TERMINOLOGY AND THE ABILITY TO PERSONALLY ORGANIZE THE DISCUSSION.
THE ACHIEVEMENT IS EXPRESSED BY A SCORE IN THE RANGE [0-30]; THE MINIMUM FOR PASSING THE EXAM IS 18, FOR SUFFICIENT LEVEL AND QUALITY, THE MAXIMUM IS 30, FOR VERY GOOD LEVEL AND QUALITY; THE SCORE 30 "WITH HONORS" IS ATTRIBUTED TO STUDENTS, REACHING THE MAXIMUM VOTE OF 30, WHO SHOW EXCELLENT LEVEL AND QUALITY AND SHOW THAT THEY ARE ABLE TO APPLY THEIR KNOWLEDGE AND SKILLS BEYOND THE CONTEXTS OF LESSONS LEARNED.
Texts
CASCETTA E. (2006) MODELLI PER I SISTEMI DI TRASPORTO. TEORIA E APPLICAZIONI UTET
G.E. CANTARELLA, E A. VITETTA. (2010). LA REGOLAZIONE DI INTERSEZIONI STRADALI SEMAFORIZZATE: METODI ED APPLICAZIONI. FRANCO ANGELI EDITORE
TREIBER, M., &KESTING, A. (2013). TRAFFIC FLOW DYNAMICS. TRAFFIC FLOW DYNAMICS: DATA, MODELS AND SIMULATION, SPRINGER-VERLAG BERLIN HEIDELBERG.
KLEIN, L. A. (2017). ITS SENSORS AND ARCHITECTURES FOR TRAFFIC MANAGEMENT AND CONNECTED VEHICLES. CRC PRESS.
More Information
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