Students will learn the general procedures of transport management in order to work out risk mitigation plans and sectorial emergency management plans to face several kinds of anomalous events and accidents occur, due to either human or natural origin.

• Knowledge and understanding 

Knowledge of methods, models, operational tools, good practices and guidance procedures for the analysis and management of transport networks .

• Applying knowledge and understanding

Ability to assess the level of vulnerability of a network and the consequent risk level associated with transport activity, depending on the intrinsic characteristics of the network (topological and functional), on traffic flows, and on the type and lenght of anomalous events that may affect the network , predict the possible consequences on the traffic caused by anomalous events that may interest the transport network  and determine, through appropriate simulations, different scenarios of network status that may occur

• Making judgments

Ability to govern the traffic in emergency conditions and determine the most appropriate diversion and management measures of traffic flow to minimize congestion, journey times and response times of emergency vehicles.

• Communication skills

Ability to clearly convey to any audience the conclusions of a transport risk management study with appropriate motivation.

• Learning skills

Ability to autonomously increase knowledge in comparison with what has been taught during classes.

The course provides an overview of methods, models, operational tools, good practices and guidance procedures for the analysis and management of transport networks (mainly roads), aiming to: assess the level of vulnerability of a network and the consequent risk level associated with transport activity, depending on the intrinsic characteristics of the network (topological and functional), on traffic flows, and on the type of anomalous events that may affect the network , predict the possible consequences on the traffic caused by anomalous events that may interest the transport network (full or partial closure of road sections, planned or unexpected evacuations from specific areas, etc.) and determine, through appropriate simulations, different scenarios of network status that may occur; govern the traffic in emergency conditions (as a result of possible abnormal events described above) and determine the most appropriate diversion measures and management of traffic flow to minimize congestion, journey times and response times of emergency vehicles.

•    Transport-demand models: random utility models, four phases model: generation, distribution, modal split, route choice, elements of matrix estimation.

•    Assignment to transportation networks: classification and fields of application of assignment models, assignment to uncongested networks, assignment to congested networks: user equilibrium, day-to-day dynamics,  intra period (within-day) dynamic assignment.

•   Special tasks: estimation of queues and delays at bottlenecks (with input-output diagrams), travel-time estimation, detection of anomalous events using real-time traffic data.

•    Heavy vehicles storage and management during emergencies

•    Traffic management plan: elements of incident management, implementation of a TMP, fundamental elements of TMP, structure of a TMP, Italian Examples and TMP for corridors and network.

•    Intelligent Transport Systems: definition, objectives (journey information and planning, traveller information services), traffic management, management of goods and fleets, electronic fees, safety of transports, management of emergencies and accidents, urban areas, impact on mobility, examples.

•    Transport emergency management plan: evacuation management operations, transport during Emergencies, organization of transport to support emergency actions.

•    Vulnerability of transport networks: introduction to road vulnerability and road network vulnerability analysis.

•    Basis for the use of the following applications: traffic patterns simulation models and transport networks models and GIS for managing road networks.

 A short reach of a real case study is analysed during the application classes. Students are then required to produce a presentation of this work.

Basic informatics, mathematics, statistics.

During the year it is important to take part in the exercise. The exercise will be worked up in groups of students. At the end of the course the exercise is presented orally by the entire Group. Each Student must illustrate a part of the work. The Student must know the work done by the whole Group and not just the part that has seen him most involved. The exercise, if passed positively, is kept "valid" for the following years.

After the exercise, the exam consists of an oral discussion.