Comparative Study of EMME/2 and QRS II for Modeling a Small Community

2003 ◽  
Vol 1858 (1) ◽  
pp. 103-111 ◽  
Author(s):  
Lei Yu ◽  
Peng Yue ◽  
Hualiang Teng
Keyword(s):  
Comparative Study ◽  
Travel Demand ◽  
Demand Forecasting ◽  
Small Community ◽  
Travel Demand Forecasting ◽  
Traffic Conditions ◽  
Forecasting Models ◽  
Demand Models ◽  
Traffic Impact ◽  
Computer Based

The availability of so many computer-based travel-demand forecasting models provides transportation planners with powerful and flexible tools in the modeling phase of their planning or traffic-impact studies, but it has confused users in the selection of an appropriate model for a particular study. It is commonly recognized that none of the existing travel-demand models is perfectly suited for all network scenarios and traffic conditions. A particular model that is strong in one application scenario may be weak in a different application scenario. A comparative study is presented of two widely used travel-demand forecasting models, EMME/2 and QRS II, for applications to a small community. A structural comparison is performed, and a real-world small network is modeled by EMME/2 and QRS II to identify specific features and limitations of each model. Areas for comparison include model structure, drawing of the network, data input, network modification, parameter calibration, and modeling output. The study does not recommend either model to transportation planners for a practical application to a small community. Instead, the study identifies the major differences and common features of two models, which can help planners understand what they can expect from a certain model when they choose to use it.

scholarly journals Application of Trip Generation Models for Urban Transport Planning In a Data Scarce Developing Country City: The Case of Dar es Salaam

2014 ◽  
Vol 35 (2) ◽  
pp. 99-112
Author(s):  
Hanniabl Bwire
Keyword(s):  
Travel Demand ◽  
Demand Forecasting ◽  
Developed Countries ◽  
Dar Es Salaam ◽  
Urban Transport ◽  
Interactive Effects ◽  
Trip Generation ◽  
Transport Planning ◽  
Travel Demand Forecasting ◽  
Forecasting Models

With the increase in travel demand and traffic management problems in many developingcountries cities, travel demand forecasting models are being employed increasingly tomake informed decisions about the operational improvements to the existing transportationsystem and the design and performance of future transportation systems. The mainadvantage of using travel demand forecasting models for such purposes is that they arecapable of capturing the interactive effects of different components of the system understudy. However, for some time now there have been concerns about the application oftransport planning models in developing countries. The concerns have been mainly inrelation to the variables, coefficients and models borrowed from developed countries. Thispaper first discusses the characteristics of transport problems in developing cities andprovides a review of trip generation modelling approaches. Then, the discussion extendsfurther to cover available data for urban transport planning and trip generation modelsthat have found application in Dar es Salaam, Tanzania. The paper concludes byhighlighting how available data sources and trip generation modelling approach can beimproved to cope with the dynamic conditions in Dar es Salaam.

Volume-Delay Function in Trip Assignment

2015 ◽  
Vol 802 ◽  
pp. 351-356
Author(s):  
Lee Vien Leong ◽  
Kwang Yew Tan
Keyword(s):  
Road Network ◽  
Travel Demand ◽  
Network Flows ◽  
Demand Forecasting ◽  
Heterogeneous Traffic ◽  
Travel Times ◽  
Travel Demand Forecasting ◽  
Delay Function ◽  
The Road ◽  
Demand Models

Four-stage demand models are the most popular travel demand forecasting models. Trip assignment which is the last stage in the four-stage demand modelling is a key element in travel demand forecasting process. Traffic assignment model is used to assign travel demands into the road network and predict network flows that are associated with future planning scenarios based on the estimates of link travel times. In order to calculate travel time between origin and destination, a function presenting the relationship between link delays and link flows is used. This function is known as Volume-Delay Function (VDF) and it is the fundamental component of equilibrium trip assignment models. This study aims to investigate and improve VDFs for heterogeneous traffic at different type of arterial roads in Malaysia by using the road network in Balik Pulau, Penang as a case study. Primary data such as traffic volume and speed are collected at three types of arterial roads, which are the principal arterial, minor arterial and collectors to derive the parameters required in the VDFs. In this study, the most well-known and most widely-used volume-delay function which is known as the BPR function developed by the U.S. Bureau of Public Roads was investigated and calibrated using the transportation planning software, EMME 4.1.3. The calibrated functions are then validated with field data. The output from this research is very important as better understanding of VDFs can produce better estimate of link travel times and hence better planning for future scenarios.

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