Evaluation of estimated shortest travel time using traffic network simulation

2003 ◽  
Author(s):  
Hojung Kim ◽  
Khonghee Choi ◽  
Byungha Ahn
Keyword(s):  
Travel Time ◽  
Network Simulation ◽  
Traffic Network

Evaluation of SCATSIM–RTA Adaptive Traffic Network Simulation Model

1996 ◽  
Vol 1566 (1) ◽  
pp. 8-19 ◽  
Author(s):  
V. Ngoc Nguyen
Keyword(s):  
Simulation Model ◽  
Traffic Control ◽  
Network Simulation ◽  
Fixed Time ◽  
Traffic Network ◽  
Oxides Of Nitrogen ◽  
Traffic System ◽  
Traffic Conditions ◽  
South Wales ◽  
Network Simulation Model

The traffic network simulation model, SCATSIM, was developed by the Roads and Traffic Authority of New South Wales, Australia, as an aid to the development and improvement of the Sydney Coordinated Adaptive Traffic System (SCATS). It is capable of simulating traffic under different control techniques (such as fixed-time and SCATS adaptive control). Other traffic control systems, with known control algorithms, can also be simulated by SCATSIM. This paper is aimed at evaluating SCATSIM performance against a well-accepted analytical model, TRANSYT. Test runs demonstrate that SCATSIM is capable of simulating comprehensive traffic conditions derived from real world situations. It indicates that SCATSIM can simulate (a) traffic delay, vehicle stops, and fuel consumption within 11 percent of those predicted by TRANSYT; and (b) vehicle pollution emission (carbon monoxide, hydrocarbons, and oxides of nitrogen) within 5 percent of what is derived from TRANSYT results.

scholarly journals Target-Oriented User Equilibrium Considering Travel Time, Late Arrival Penalty, and Travel Cost on the Stochastic Tolled Traffic Network

2021 ◽  
Vol 13 (17) ◽  
pp. 9992
Author(s):  
Xinming Zang ◽  
Zhenqi Guo ◽  
Jingai Ma ◽  
Yongguang Zhong ◽  
Xiangfeng Ji
Keyword(s):  
Travel Time ◽  
Policy Design ◽  
Route Choice ◽  
Travel Cost ◽  
User Equilibrium ◽  
Traffic Network ◽  
Utility Model ◽  
Late Arrival ◽  
Choice Decision ◽  
New Perspective

In this paper, we employ a target-oriented approach to analyze the multi-attribute route choice decision of travelers in the stochastic tolled traffic network, considering the influence of three attributes, which are (stochastic) travel time, (stochastic) late arrival penalty, and (deterministic) travel cost. We introduce a target-oriented multi-attribute travel utility model for this analysis, where each attribute is assigned a target by travelers, and travelers’ objective is to maximize their travel utility that is determined by the achieved targets. Moreover, the interaction between targets is interpreted as complementarity relationship between them, which can further affect their travel utility. In addition, based on this travel utility model, a target-oriented multi-attribute user equilibrium model is proposed, which is formulated as a variational inequality problem and solved with the method of successive average. Target for travel time is determined via travelers’ on-time arrival probability, while targets for late arrival penalty and travel cost are given exogenously. Lastly, we apply the proposed model on the Braess and Nguyen–Dupuis traffic networks, and conduct sensitivity analysis of the parameters, including these three targets and the target interaction between them. The study in this paper can provide a new perspective for travelers’ multi-attribute route choice decision, which can further show some implications for the policy design.

scholarly journals Calibrating Microsimulation Parameters for Vehicular Travel Time

2021 ◽  
Vol 9 (5) ◽  
pp. 565-569
Keyword(s):  
Travel Time ◽  
Simulation Models ◽  
Congestion Management ◽  
Traffic Network ◽  
Travel Times ◽  
Time Data ◽  
Urban Road ◽  
Speed Distribution ◽  
Travel Time Data ◽  
Calibration Parameters

Travel time is one of the simplest yet the most important parameter for transportation facility users as well as transportation engineers. Travel time data is valuable for widerange of transportation analysis including congestion management, transportation planning and passenger’sdecision making.Traffic simulation models are now becoming necessary tools to understand the behavior of traffic and reduce vehicular travel times, but it is very important to calibrate these models first. Thisstudy attempts to determines the values of those parameters,using microsimulation,that significantly affect the travel time. These parameters arethenused for calibrating the traffic simulation model that results in realistic travel time.Study was conducted on an urban road andfield data was collected during weekdays for peak hours. The traffic network was modelled usingVISSIM®.The calibration parameters were desired speed distribution, number of lanes,average standstill distance and minimum headway. After calibrating the model, the travel times collected from field data and those by simulations for different modes of transportation were in close agreement.

A flexible, adaptive traffic network simulation with parameter estimation

2016 ◽  
Vol 21 (1) ◽  
pp. 63-77 ◽  
Author(s):  
Elvira Thonhofer ◽  
Elisabeth Luchini ◽  
Stefan Jakubek
Keyword(s):  
Parameter Estimation ◽  
Network Simulation ◽  
Traffic Network
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