Research on the Improvement Schemes of Irregular Intersection

2012 ◽  
Vol 253-255 ◽  
pp. 1971-1975
Author(s):  
Wen Bin Zhang ◽  
Bo Wang ◽  
Harrod Genesis
Keyword(s):  
Traffic Flow ◽  
Demand Management ◽  
Flow Simulation ◽  
Field Investigation ◽  
Simulation Software ◽  
Traffic Situation ◽  
Transportation Demand Management ◽  
Transportation Demand ◽  
Traffic Flow Simulation ◽  
Before And After

In order to make the traffic flow more stability and smoothly at irregular intersection, the improvement schemes is researched on a typical irregular intersection, Hao valley intersection in Wuhan. Firstly, a field investigation is carried out for this intersection. Secondly, we carried on the optimization in many different ways, such as transportation demand management, traffic flow organization of regional, signal optimization, intersection Canalization and other optimizations. Finally, a microscopic traffic flow simulation software, VISSIM, is used to simulate the traffic situation before and after improvement. Results shows the improvement schemes effect is obviously, and the delay and conflicts substantially reduced. This research can provide a reference for similar intersection improvements.

scholarly journals Demand Data Modelling for Microscopic Traffic Simulation

2018 ◽  
Vol 19 (4) ◽  
pp. 364-371
Author(s):  
Mihails Savrasovs ◽  
Irina Pticina ◽  
Valery Zemlyanikin ◽  
Ioannis Karakikes
Keyword(s):  
Traffic Flow ◽  
Traffic Simulation ◽  
Flow Simulation ◽  
Simulation Software ◽  
Transport Network ◽  
Data Modelling ◽  
Microscopic Simulation ◽  
Microscopic Traffic Simulation ◽  
Dynamic Assignment ◽  
Traffic Flow Simulation

Abstract The current paper aim is to present the technique of demand data modelling for microscopic simulation of the traffic flows. Traffic microscopic simulation is a powerful decision supporting tool, which could be applied for a wide range of tasks. In a past microscopic traffic simulation was used to test local changes in transport infrastructure, but the growth of computers performance allows now to simulate wide-scale fragments of the traffic network and to apply more advanced traffic flow simulation approaches, like an example dynamic assignment (DA). The results, obtained in the frame of this research are part of the project completed for one of the shopping malls (Riga, Latvia). The goal of the project was to evaluate different development scenarios of the transport network to raise the accessibility of the shopping mall. The number of practical issues in the frame of this project pushed to develop a new technique to model the demand data for the simulation model. As a traffic flow simulation tool, the PTV VISSIM simulation software was applied. The developed model was based on dynamic assignment approach. To complete the simulation the demand data was represented in two forms: 1) OD matrix for regular traffic in the transport network; 2) trip-chain file for a description of the pass-by and targeted trips.

How Do We Know Employer-Based Transportation Demand Management Works? The Need for Experimental Design

1996 ◽  
Vol 1564 (1) ◽  
pp. 54-59 ◽  
Author(s):  
Thomas J. Higgins
Keyword(s):  
Experimental Design ◽  
Social Science ◽  
Average Rate ◽  
Demand Management ◽  
Surrounding Area ◽  
Transportation Demand Management ◽  
Transportation Demand ◽  
The Past ◽  
The Social ◽  
Before And After

Several studies of employer-based demand management programs have been conducted in the past few years. Many have drawn conclusions about effects of the programs by examining before and after program changes in the proportion of solo drivers among the employees involved in the program. Others compare before and after data to solo driving trends in the surrounding area or at selected employment sites. Still other studies do not use before and after data at all, but simply compare the proportion of solo driving among program participants after implementation with an average rate for the area or region. The weaknesses of these approaches to evaluating demand management programs are discussed, remedies for these weaknesses based on classical experimental design from the social science and statistical literature are suggested, and the results of an experimental design of employer trip reduction programs in the Denver region are highlighted. The example illustrates the required elements of an experimental design, as well as some difficulties in executing the design.

scholarly journals Traffic Flow Simulation on Discrete Rate Approach Base

2012 ◽  
Vol 13 (2) ◽  
pp. 167-173 ◽  
Author(s):  
Mihails Savrasovs
Keyword(s):  
Traffic Flow ◽  
Flow Simulation ◽  
Simulation Software ◽  
Microsoft Excel ◽  
Transport Modelling ◽  
Mesoscopic Simulation ◽  
Flow Models ◽  
Time Flow ◽  
Traffic Flow Simulation ◽  
High Level

Traffic Flow Simulation on Discrete Rate Approach Base The classical scientific literature dedicated to transport modelling has emphasised three levels of detail on which traffic models could be created. These levels are: microlevel, mesolevel and macroscopic level. Microscopic and macroscopic modelling are well known and widely used. The term ‘mesoscopic modelling’ has been interpreted by different scientists in different ways. In general, mesoscopic traffic flow models are understood to be models where traffic flow is described with a high level of detail, but at the same time flow behaviour and flow interactions are presented with a low level of description. The previously proposed new simulation approach (called ‘mesoscopic simulation’) was applied to traffic flow simulation. All the described models were implemented using Microsoft Excel and VBA. However, the practical application concerns that to construct more sophisticated models Microsoft Excel and VBA could not be used, because of programming complexity. The main goal of this paper is to present examples of the application of the discrete rate approach of ExtendSim simulation software for traffic flow simulation. A literature survey has shown that the discrete rate approach is mainly used in logistics, but not in the area of transport area. So the tasks of this paper are to present the main techniques of model implementation using a discrete rate approach and to apply this approach to traffic flow simulation.

Effective Transportation Demand Management: Combining Parking Pricing, Transit Incentives, and Transportation Management in a Commercial District of Portland, Oregon

2000 ◽  
Vol 1711 (1) ◽  
pp. 46-54 ◽  
Author(s):  
Martha J. Bianco
Keyword(s):  
Demand Management ◽  
Management Strategies ◽  
Transportation Demand Management ◽  
Transportation Management ◽  
Transportation Demand ◽  
Before And After ◽  
Residential District ◽  
Parking Pricing ◽  
The Relationship ◽  
The City

The Lloyd District is a high-density commercial and residential district located a short distance from downtown Portland, Oregon. To address parking and congestion problems, the city of Portland implemented a Lloyd District Partnership Plan in September 1997. This plan consists of a number of elements aimed at curbing single-occupancy vehicle use for the commute to and from the district. This plan included parking pricing in the form of meters (whereas on-street parking had been free), discounted transit passes, and other transportation demand management strategies. The effects of these strategies on travel and parking behavior were assessed, with an emphasis on the relationship between parking pricing and mode choice. A random sample of 1,000 employees in the Lloyd District was surveyed about their travel and parking behavior before and after the installation of the new meters. Research found that, during the 1 year that had elapsed between the implementation of the Lloyd District transportation management programs and the survey information collected, the drive-alone mode for the trip to work by employees in the Lloyd District had decreased by 7 percent. For the district as a whole, the drive-alone commute share is now about 56 percent. The program strategies that have emerged as the most significant in effecting this decrease are the installation of the meters and the discounted transit pass program.

Exploratory Evaluation of a Concept Combining Incentivized On-Demand Ridesharing with Congestion Pricing

2021 ◽  
pp. 036119812110116
Author(s):  
Patrick DeCorla-Souza
Keyword(s):  
Demand Management ◽  
Congestion Pricing ◽  
Economic Benefits ◽  
Transportation Demand Management ◽  
Transportation Demand ◽  
Transportation Funding ◽  
On Demand ◽  
Federal Highway ◽  
Planning Tools ◽  
Management Concept

This paper presents an innovative transportation demand management concept involving congestion pricing synergistically combined with incentivized on-demand ridesharing. An exploratory evaluation of the concept was undertaken using sketch-planning tools developed by the Federal Highway Administration. The analysis suggests that the concept could be financially viable, achieve significant economic benefits, and potentially generate surplus revenues that could be sufficient to address transportation funding gaps.

Report on design of modules for the stochastic traffic simulation

2021 ◽  
Author(s):  
Christian Siebke ◽  
◽  
Maximilian Bäumler ◽  
Madlen Ringhand ◽  
Marcus Mai ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Main Part ◽  
Traffic Simulation ◽  
Cognitive Structure ◽  
Flow Simulation ◽  
Road User ◽  
The Road ◽  
Traffic Flow Simulation ◽  
Cognitive Behaviour ◽  
Traffic Simulations

As part of the AutoDrive project, OpenPASS is used to develop a cognitive-stochastic traffic flow simulation for urban intersection scenarios described in deliverable D1.14. The deliverable D4.20 is about the design of the modules for the stochastic traffic simulation. This initially includes an examination of the existing traffic simulations described in chapter 2. Subsequently, the underlying tasks of the driver when crossing an intersection are explained. The main part contains the design of the cognitive structure of the road user (chapter 4.2) and the development of the cognitive behaviour modules (chapter 4.3).

scholarly journals Effectiveness of Information from Vehicles beyond Nearest Vehicle Ahead for Traffic Flow

2011 ◽  
Vol 2011 ◽  
pp. 1-7
Author(s):  
Hikaru Shimizu ◽  
Sho Nishiyama ◽  
Yukiko Wakita ◽  
Eisuke Kita
Keyword(s):  
Stability Analysis ◽  
Traffic Flow ◽  
Flow Simulation ◽  
The Other ◽  
Stable Region ◽  
Model Parameters ◽  
Model Stability ◽  
Acceleration Rate ◽  
Traffic Flow Simulation ◽  
Vehicle Acceleration

A driver usually controls the vehicle according to only the information from the nearest leader vehicle. If the information from the other leader vehicles is also available, the driver can control the vehicle more adequately. The aim of this study is to discuss the effectiveness of the information from the other leader vehicles than the nearest one for the traffic flow. For this purpose, the traffic flow is modeled by using the Chandler-type multi-vehicle-following model. This model changes the vehicle acceleration rate according to the velocity differences between the vehicle and its multileader vehicles. After the model stability analysis, the traffic flow simulation is performed. The results reveal that the stable region of the model parameters expands according to the increase of the number of the leader vehicles.

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