Dynamic Quantification of the Effect of Traffic Congestion on a Multilayer Network

The paper “Dynamic efficiency in multilayer transportation networks” (Bellocchi, Geroliminis, 2018) [1] introduced new performance measures to quantify dynamically the effect of traffic congestion in a multilayer network. Based on these measures, we explore the efficiency of the road network of an area of the city of Shenzhen using real time data and its improvement when it interacts with a public transportation network. These measures use mainly the shortest path algorithm which describe well the travelers’ behavior and is fast computing. Thus, it is an innovation in the field. With the roads network speeds as only data, we managed to extract some very interesting results that describe the performance of the city in many ways, like finding the weaknesses of the network of the city, anticipate the travelers’ modal choice, check the public transports network performance and observe the effect of the introduction of a new mode. With an available demand information, we introduced a new measure, Happiness, which scale the effectiveness of the city in the point of view of the users instead of the network.