Integrated traffic information system for Urban/Inter-Urban traffic management

2008 ◽  
pp. 95-100
Keyword(s):  
Information System ◽  
Traffic Management ◽  
Urban Traffic ◽  
Traffic Information

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.  

Study on Road Traffic Condition Identification Based on Floating Taxi

2011 ◽  
Vol 105-107 ◽  
pp. 2250-2254
Author(s):  
Xin Sheng Yao ◽  
Jian Hua Qu ◽  
Ji Lai Ying
Keyword(s):  
Traffic Management ◽  
Road Traffic ◽  
Sampling Interval ◽  
Urban Traffic ◽  
Traffic Information ◽  
Prototype System ◽  
Data Sampling ◽  
Traffic Condition ◽  
Wireless Communication Protocol ◽  
Information Update

This paper describes a prototype system based on floating taxi for traffic condition identification. The system consists of in-vehicle hardware units placed in floating taxi and backstage database that process all data send from the report units. The communication between the taxi and the database center is based on a very compact wireless communication protocol. The taxi sample size is decided by the variables: section traffic information update cycle, data sampling interval, section covering ratio. The test in a road section showed that the system is operational which could offer useful reference for urban traffic management and resident trips decision.

scholarly journals Real time traffic information system-A step towards total traffic management at Kamakura

2001 ◽  
Vol 18 ◽  
pp. 887-894
Author(s):  
Shinji KAJITANI ◽  
Kunihiro SAKAMOTO ◽  
Hisashi KUBOTA ◽  
Youji Takahashi
Keyword(s):  
Information System ◽  
Real Time ◽  
Traffic Management ◽  
Traffic Information ◽  
Real Time Traffic ◽  
System A

DINO: Roteamento Dinâmico para ITS Considerando Recursos da Rede

2021 ◽  
Author(s):  
Matheus Bernardino de Araújo ◽  
Matheus Monteiro Silveira ◽  
Rafael Lopes Gomes
Keyword(s):  
Travel Time ◽  
Traffic Management ◽  
Network Flows ◽  
Urban Traffic ◽  
Traffic Information ◽  
Transport Systems ◽  
Packet Delivery ◽  
Vehicle Accidents ◽  
Average Travel Time ◽  
Definition Of

Intelligent Transport Systems (ITS) arose as a modern solution to traffic jams and vehicle accidents in the urban environment. A key part of the ITS is Traffic Management (TM), which concerns the planning and route definition of the vehicle. Existing TM solution focuses specifically on urban traffic information, ignoring the issues related to the network infrastructure and the applications at the top of it. Within this context, this paper presents a vehicle routing and re-routing strategy, called DINO, that considers both travel time of vehicles on the roads and the active network flows in the network, aiming to dynamically bring a suitable balance between travel time and packet delivery through a heuristic. The experiments performed suggest that DINO improves the packet delivery of the applications while reduces the average travel time of vehicles.

Algorithm for Bus Priority Signals based on Urban Traffic Information System(UTIS)

2012 ◽  
Vol 11 (2) ◽  
pp. 21-28
Author(s):  
Bong-Keun Lee ◽  
◽  
Choul-Ki Lee ◽  
Il-Soo Yun ◽  
Young-Sun Kim
Keyword(s):  
Information System ◽  
Urban Traffic ◽  
Traffic Information ◽  
Bus Priority
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