A New Road Network Model and Its Application in a Traffic Information System

2008 ◽  
Author(s):  
Weifeng Lv ◽  
Wenjie Liao ◽  
Dongdong Wu ◽  
Jiong Xie
Keyword(s):  
Information System ◽  
Network Model ◽  
Road Network ◽  
Traffic Information

A Simplified Real-Time Road Network Model Considering Intersection Delay and its Application on Vehicle Navigation

2011 ◽  
Vol 58-60 ◽  
pp. 1959-1965 ◽  
Author(s):  
Zheng Yu Zhu ◽  
Wei Liu ◽  
Lin Liu ◽  
Ming Cui ◽  
Jin Yan Li
Keyword(s):  
Real Time ◽  
Network Model ◽  
Road Network ◽  
Intelligent Transportation System ◽  
Optimal Path ◽  
Network Models ◽  
Traffic Information ◽  
Vehicle Navigation ◽  
Traffic Data ◽  
New Model

The complexity of a real road network structure of a city and the variability of its real traffic information make a city’s intelligent transportation system (ITS) hard to meet the needs of the city’s vehicle navigation. This paper has proposed a simplified real-time road network model which can take into account the influence of intersection delay on the guidance for vehicles but avoid the calculation of intersection delay and troublesome collection of a city’s traffic data. Based on the new model, a navigation system has been presented, which can plan a dynamic optimal path for a vehicle according to the real-time traffic data received periodically from the city’s traffic center. A simulated experiment has been given. Compared with previous real-time road network models, the new model is much simpler and more effective on the calculation of vehicle navigation.

PENGEMBANGAN ”REAL TIME TRAFFIC INFORMATION SYSTEM” BAGI PENGGUNA JALAN

2013 ◽  
Vol 12 (3) ◽  
Author(s):  
Rusmadi Suyuti
Keyword(s):  
Information System ◽  
Real Time ◽  
Travel Demand ◽  
Urban Traffic ◽  
Road User ◽  
Traffic Information ◽  
Estimation Methods ◽  
Traffic Counts ◽  
Real Time Traffic ◽  
Demand Models

Traffic information condition is a very useful  information for road user because road user can choose his best route for each trip from his origin to his destination. The final goal for this research is to develop real time traffic information system for road user using real time traffic volume. Main input for developing real time traffic information system is an origin-destination (O-D) matrix to represent the travel pattern. However, O-D matrices obtained through a large scale survey such as home or road side interviews, tend to be costly, labour intensive and time disruptive to trip makers. Therefore, the alternative of using traffic counts to estimate O-D matrices is particularly attractive. Models of transport demand have been used for many years to synthesize O-D matrices in study areas. A typical example of the approach is the gravity model; its functional form, plus the appropriate values for the parameters involved, is employed to produce acceptable matrices representing trip making behaviour for many trip purposes and time periods. The work reported in this paper has combined the advantages of acceptable travel demand models with the low cost and availability of traffic counts. Two types of demand models have been used: gravity (GR) and gravity-opportunity (GO) models. Four estimation methods have been analysed and tested to calibrate the transport demand models from traffic counts, namely: Non-Linear-Least-Squares (NLLS), Maximum-Likelihood (ML), Maximum-Entropy (ME) and Bayes-Inference (BI). The Bandung’s Urban Traffic Movement survey has been used to test the developed method. Based on several statistical tests, the estimation methods are found to perform satisfactorily since each calibrated model reproduced the observed matrix fairly closely. The tests were carried out using two assignment techniques, all-or-nothing and equilibrium assignment.  

A Dynamic Traffic Information System Based on VANETs

ICTIS 2011 ◽  
2011 ◽  
Author(s):  
Daxin Tian ◽  
Yunpeng Wang ◽  
Guangquan Lu ◽  
Guizhen Yu ◽  
He Liu
Keyword(s):  
Information System ◽  
Traffic Information ◽  
Dynamic Traffic

Improving road network databases by integrating a geographic information system and digital imagery

2008 ◽  
Vol 35 (2) ◽  
pp. 170-178 ◽  
Author(s):  
M. Abdalla ◽  
Said M. Easa
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Road Network ◽  
Geographic Information ◽  
Integrated System ◽  
High Data ◽  
Road Lighting ◽  
Safety Performance Functions ◽  
Collection Cost

Road lighting information is an important record in road network databases. It has been frequently observed that such data are either missing or not updated due to the high data collection cost using traditional methods. This paper presents a new methodology for identifying and (or) resolving missing and conflicting road lighting data in road network databases. The methodology is based on: (i) integrating the single-line road network (SLRN) in a geographic information system format with a road network database and (ii) integrating the SLRN with a collision database. Missing and conflicting lighting data are resolved using a semi-automatic method for extracting streetlight pole information. The integrated system can also identify inconsistencies related to short segments and segments with mixed illumination characteristics. Inconsistencies in the traffic volume database were also examined and the effect of data inconsistency on safety performance functions was evaluated. The proposed methodology represents an inexpensive, efficient tool for improving the quality of road network databases and associated road safety analysis.

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