Route guidance systems based on the macroscopic fundamental diagram concept: a Simulation-Based Case Study in the city of Portici

2021 ◽  
Author(s):  
Alessio Tesone ◽  
Angelo Coppola ◽  
Luca Di Costanzo ◽  
Luigi Pariota ◽  
Gennaro Nicola Bifulco
Keyword(s):  
Route Guidance ◽  
Fundamental Diagram ◽  
Macroscopic Fundamental Diagram ◽  
Simulation Based ◽  
Guidance Systems ◽  
The City

scholarly journals Informing the design of courtyard street blocks using solar energy models: a case study of a university campus in Singapore

2021 ◽  
Vol 2042 (1) ◽  
pp. 012050
Author(s):  
Ekaterina Vititneva ◽  
Zhongming Shi ◽  
Pieter Herthogs ◽  
Reinhard König ◽  
Aurel von Richthofen ◽  
...  
Keyword(s):  
Solar Energy ◽  
Urban Form ◽  
Energy Performance ◽  
University Campus ◽  
Quasi Monte Carlo ◽  
Energy Models ◽  
Simulation Based ◽  
Input Variables ◽  
The City

Abstract This study discusses the interplays between urban form and energy performance using a case study in Singapore. We investigate educational urban quarters in the tropical climate of Singapore using simulation-based parametric geometric modelling. Three input variables of urban form were examined: street network orientation, street canyon width, and building depth. In total, 280 scenarios were generated using a quasi-Monte Carlo Saltelli sampler and Grasshopper. For each scenario, the City Energy Analyst, an open-source urban building energy simulation program, calculated solar energy penetration. To assess the variables’ importance, we applied Sobol’ sensitivity analysis. Results suggest that the street width and building depth were the most influential parameters.

scholarly journals Simulation-Based Design of Urban Bi-modal Transport Systems

2020 ◽  
Vol 1 ◽  
Author(s):  
Gabriel Tilg ◽  
Zain Ul Abedin ◽  
Sasan Amini ◽  
Fritz Busch
Keyword(s):  
Transport System ◽  
Three Dimensional ◽  
Optimization Techniques ◽  
Transport Systems ◽  
Fundamental Diagram ◽  
Urban Networks ◽  
Strategic Design ◽  
Macroscopic Fundamental Diagram ◽  
Simulation Based ◽  
Road Space

The three-dimensional passenger macroscopic fundamental diagram (pMFD) describes the relation of the network accumulation of public transport and private vehicles, and the passenger production. It allows for modeling the multi-modal traffic dynamics in urban networks and deriving innovative performance indicators. This paper integrates this concept into a multi-modal transport system design framework formulated as a simulation-based optimization problem. In doing so, we consider the competition for limited road space and the operational characteristics, such as congestion occurrences, at the strategic design level. We evaluate the proposed framework in a case study for the Sioux Falls network. Thereby, we deliver a proof of concept, and show that the proposed methodology indeed designs a transport system which benefits the overall system's performance. This paper further advances the integration of sequential model-based optimization techniques, macroscopic traffic flow concepts, and traffic simulation to design multi-modal transport systems. This supports transport planners and local authorities in composing efficient and robust transport networks.

Simulation Laboratory for Evaluating Dynamic Traffic Management Systems

2000 ◽  
Vol 1710 (1) ◽  
pp. 122-130 ◽  
Author(s):  
Qi Yang ◽  
Haris N. Koutsopoulos ◽  
Moshe E. Ben-Akiva
Keyword(s):  
Traffic Management ◽  
Transportation Systems ◽  
Management Systems ◽  
Route Guidance ◽  
Dynamic Traffic ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Simulation Based ◽  
Traffic Management System

Advanced traffic management systems (ATMS) and advanced traveler information systems (ATIS) are promising technologies for achieving efficiency in the operation of transportation systems. A simulation-based laboratory environment, MITSIMLab, is presented that is designed for testing and evaluation of dynamic traffic management systems. The core of MITSIMLab is a microscopic traffic simulator (MITSIM) and a traffic management simulator (TMS). MITSIM represents traffic flows in the network, and the TMS represents the traffic management system under evaluation. An important feature of MITSIMLab is its ability to model ATMS or ATIS that generate traffic controls and route guidance based on predicted traffic conditions. A graphical user interface allows visualization of the simulation, including animation of vehicle movements. An ATIS case study with a realistic network is also presented to demonstrate the functionality of MITSIMLab.

scholarly journals Analytical Model to Estimate Ride Pooling Traffic Impacts by Using the Macroscopic Fundamental Diagram

2022 ◽  
pp. 036119812110648
Author(s):  
Aledia Bilali ◽  
Ulrich Fastenrath ◽  
Klaus Bogenberger
Keyword(s):  
Analytical Model ◽  
Traffic Congestion ◽  
Average Velocity ◽  
Quality Parameters ◽  
Fundamental Diagram ◽  
Private Vehicle ◽  
Macroscopic Fundamental Diagram ◽  
Traffic Impacts ◽  
The Impact ◽  
The City

Ride pooling services are considered as a customer-centric mode of transportation, but, at the same time, an environmentally friendly one, because of the expected positive impacts on traffic congestion. This paper presents an analytical model that can estimate the traffic impacts of ride pooling on a city by using a previously developed shareability model, which captures the percentage of shared trips in an area, and the existence of a macroscopic fundamental diagram for the network of consideration. Moreover, the analytical model presented also investigates the impact that improving the average velocity of a city has on further increasing the percentage of shared trips in an operation area. The model is validated by means of microscopic traffic simulations for a ride pooling service operating in the city of Munich, Germany, where private vehicle trips are substituted with pooled vehicle trips for different penetration rates of the service. The results show that the average velocity in the city can be increased by up to 20% for the scenario when all private vehicle trips are substituted with pooled vehicle trips; however, the improvement is lower for smaller penetration rates of ride pooling. The operators and cities can use this study to quickly estimate the traffic impacts of introducing a ride pooling service in a certain area and for a certain set of service quality parameters.

scholarly journals Simulation-Based Public Transport Priority Tailored to Passenger Conflict Flows: A Case Study of the City of Zagreb

2021 ◽  
Vol 11 (11) ◽  
pp. 4820
Author(s):  
Luka Novačko ◽  
Karlo Babojelić ◽  
Luka Dedić ◽  
Tomislav Rožić
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Passenger Cars ◽  
Peak Period ◽  
Effective Measure ◽  
Traffic Lane ◽  
Simulation Based ◽  
Passenger Flows ◽  
The City

Prioritizing public transport is one of the most effective measure to increase the attractiveness and competitiveness of public transport in relation to individual vehicles. The main goal of this study was to examine the possibilities for reducing the travel time of tram vehicles by giving priority at signalized intersections in terms of sharing the traffic lane with personal vehicles and under conditions of strong conflict flows with private transport. For this purpose, we used the simulation tool VISSIM and its module EPICS. A methodology for determining weighting factors for prioritizing public transport flows was developed based on conflicting passenger flows in public transport vehicles and passenger cars. Three scenarios were tested in the study area: (1) “do nothing”; (2) unconditional priority; and (3) conditional priority. The results showed that unconditional priority led to unsustainable traffic conditions for personal vehicles and public transport. In contrast, conditional priority reduced the travel time of public transport on certain corridors by between 7.64% and 18.76% in the morning peak period, and 5.60% to 22.50% in the afternoon peak period.

scholarly journals Prediction of Structural Type for City-Scale Seismic Damage Simulation Based on Machine Learning

2020 ◽  
Vol 10 (5) ◽  
pp. 1795 ◽  
Author(s):  
Zhen Xu ◽  
Yuan Wu ◽  
Ming-zhu Qi ◽  
Ming Zheng ◽  
Chen Xiong ◽  
...  
Keyword(s):  
Machine Learning ◽  
Prediction Method ◽  
Structural Type ◽  
Seismic Damage ◽  
Training Data ◽  
Structural Types ◽  
Simulation Based ◽  
Damage Simulation ◽  
The City

Being the necessary data of the city-scale seismic damage simulations, structural types of buildings of a city need to be collected. To this end, a prediction method of structural types of buildings based on machine learning (ML) is proposed herein. Specifically, using the training data of 230,683 buildings in Tangshan city, China, a supervised ML solution based on a decision forest model was designed for the prediction. The scale sensitivity and regional applicability of the designed solution are discussed, respectively, and the results show that the supervised ML solution can maintain high accuracy for different scales; however, it is only suitable for cities similar to the sample city. For wide applicability for various cities, a semi-supervised ML solution was designed based on sampling investigation and self-training procedures. The downtowns of Daxing and Tongzhou districts in Beijing were selected as a case study for the designed semi-supervised ML solution. The overall prediction accuracies of structural types for Daxing and Tongzhou downtowns can reach 94.8% and 99.5%, respectively, which are acceptable for seismic damage simulations. Based on the predicted results, the distributions of seismic damage in Daxing and Tongzhou downtown were output. This study provides a smart and efficient method for obtaining structural types for a city-scale seismic damage simulation.

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