New Snapshot Generation Protocol for Travel Time Estimation in a Connected Vehicle Environment

2014 ◽  
Vol 2424 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Chen Chen ◽  
Jalil Kianfar ◽  
Praveen Edara
Keyword(s):  
Travel Time ◽  
Time Estimation ◽  
Travel Time Estimation ◽  
Connected Vehicle

A Methodology to Assess the Quality of Travel Time Estimation and Incident Detection Based on Connected Vehicle Data

2018 ◽  
Vol 2672 (42) ◽  
pp. 203-212 ◽  
Author(s):  
Md Shahadat Iqbal ◽  
Samaneh Khazraeian ◽  
Mohammed Hadi
Keyword(s):  
Data Acquisition ◽  
Travel Time ◽  
Regression Models ◽  
Time Estimation ◽  
Travel Time Estimation ◽  
Incident Detection ◽  
Connected Vehicle ◽  
Traffic Demand ◽  
Vehicle Data ◽  
Existing Data

Connected vehicle (CV) technologies are expected to have a significant influence on the investment decisions of transportation system management and operations (TSMO) in the near future. One of the potential applications is the use of CV data to support various TSMO processes. This study investigates the use of CV data as an alternative to existing data acquisition techniques in providing two critical functions to support TSMO: travel time estimation and incident detection. In support of this investigation, the study develops regression models to estimate the accuracy and reliability of travel time measurement and latency of incident detection as functions of the traffic demand level and the proportion of CV in the traffic stream. The developed regression models are used in conjunction with a prediction of CV proportions in future years to determine when the CV technology can provide sufficient data quality to replace existing data acquisition systems. The results can be used by TSMO programs and agencies to plan their investment in data acquisition alternatives in future years.

scholarly journals A Dynamic Travel Time Estimation Model Based on Connected Vehicles

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Daxin Tian ◽  
Yong Yuan ◽  
Honggang Qi ◽  
Yingrong Lu ◽  
Yunpeng Wang ◽  
...  
Keyword(s):  
Travel Time ◽  
Estimation Method ◽  
Time Estimation ◽  
Traffic Information ◽  
Connected Vehicles ◽  
Travel Time Estimation ◽  
Route Guidance ◽  
Connected Vehicle ◽  
Estimation Model ◽  
Connected Vehicle Technology

With advances in connected vehicle technology, dynamic vehicle route guidance models gradually become indispensable equipment for drivers. Traditional route guidance models are designed to direct a vehicle along the shortest path from the origin to the destination without considering the dynamic traffic information. In this paper a dynamic travel time estimation model is presented which can collect and distribute traffic data based on the connected vehicles. To estimate the real-time travel time more accurately, a road link dynamic dividing algorithm is proposed. The efficiency of the model is confirmed by simulations, and the experiment results prove the effectiveness of the travel time estimation method.

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