scholarly journals Vehicle Routing for Dynamic Road Network Based on Travel Time Reliability

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 190596-190604
Author(s):  
Luping Zhi ◽  
Xizhao Zhou ◽  
Jing Zhao
Keyword(s):  
Travel Time ◽  
Vehicle Routing ◽  
Road Network ◽  
Travel Time Reliability

scholarly journals A Simplified Network Model for Travel Time Reliability Analysis in a Road Network

2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Kenetsu Uchida ◽  
Teppei Kato
Keyword(s):  
Travel Time ◽  
Network Model ◽  
Road Network ◽  
Choice Behavior ◽  
Risk Averse ◽  
Travel Time Reliability ◽  
Time Variance ◽  
Proposed Model ◽  
Risk Neutral ◽  
The Mean

This paper proposes a simplified network model which analyzes travel time reliability in a road network. A risk-averse driver is assumed in the simplified model. The risk-averse driver chooses a path by taking into account both a path travel time variance and a mean path travel time. The uncertainty addressed in this model is that of traffic flows (i.e., stochastic demand flows). In the simplified network model, the path travel time variance is not calculated by considering all travel time covariance between two links in the network. The path travel time variance is calculated by considering all travel time covariance between two adjacent links in the network. Numerical experiments are carried out to illustrate the applicability and validity of the proposed model. The experiments introduce the path choice behavior of a risk-neutral driver and several types of risk-averse drivers. It is shown that the mean link flows calculated by introducing the risk-neutral driver differ as a whole from those calculated by introducing several types of risk-averse drivers. It is also shown that the mean link flows calculated by the simplified network model are almost the same as the flows calculated by using the exact path travel time variance.

scholarly journals Modeling Travel Time Reliability of Road Network Considering Connected Vehicle Guidance Characteristics Indexes

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Jiangfeng Wang ◽  
Chao Wang ◽  
Jiarun Lv ◽  
Zhiqi Zhang ◽  
Cuicui Li
Keyword(s):  
Travel Time ◽  
Road Network ◽  
Compliance Rate ◽  
Connected Vehicle ◽  
Travel Time Reliability ◽  
Improvement Rate ◽  
Explanatory Variables ◽  
Real Time Traffic ◽  
Traffic Guidance ◽  
The Impact

Travel time reliability (TTR) is one of the important indexes for effectively evaluating the performance of road network, and TTR can effectively be improved using the real-time traffic guidance information. Compared with traditional traffic guidance, connected vehicle (CV) guidance can provide travelers with more timely and accurate travel information, which can further improve the travel efficiency of road network. Five CV characteristics indexes are selected as explanatory variables including the Congestion Level (CL), Penetration Rate (PR), Compliance Rate (CR), release Delay Time (DT), and Following Rate (FR). Based on the five explanatory variables, a TTR model is proposed using the multilogistic regression method, and the prediction accuracy and the impact of characteristics indexes on TTR are analyzed using a CV guidance scenario. The simulation results indicate that 80% of the RMSE is concentrated within the interval of 0 to 0.0412. The correlation analysis of characteristics indexes shows that the influence of CL, PR, CR, and DT on the TTR is significant. PR and CR have a positive effect on TTR, and the average improvement rate is about 77.03% and 73.20% with the increase of PR and CR, respectively, while CL and DT have a negative effect on TTR, and TTR decreases by 31.21% with the increase of DT from 0 to 180 s.

The Optimization Model for Vehicle Routing Program Based on Travel Time Reliability

2014 ◽  
Vol 543-547 ◽  
pp. 12-15
Author(s):  
Hong Wei Ma
Keyword(s):  
Objective Function ◽  
Travel Time ◽  
Vehicle Routing ◽  
Optimization Model ◽  
Level Of Service ◽  
Travel Time Reliability ◽  
Program Problem ◽  
Proposed Model ◽  
Distribution Process ◽  
Delivery Vehicles

This paper analyzes the necessity of setting the travel time reliability as the optimization objective in distribution process. It based on traditional vehicle routing program models puts forward the problem of vehicle routing program problem on the basis of travel time reliability and establishes the corresponding optimization model. It also verifies the practicality of the proposed model in this paper by taking a logistic enterprise as an example. Therefore the established model of delivery vehicles which took travel time reliability as objective function has better application value for improving punctuality of distribution and level of service.

scholarly journals Empirical Analysis for Measuring Travel Time Reliability on Road Network

2021 ◽  
Vol 23 (2) ◽  
pp. 100-107
Author(s):  
Muhammad Karami ◽  
Dwi Herianto ◽  
Siti A. Ofrial ◽  
Ning Yulianti
Keyword(s):  
Travel Time ◽  
Road Network ◽  
Network Effects ◽  
Travel Time Reliability ◽  
Planning Time ◽  
The Road ◽  
Time Index ◽  
Buffer Time ◽  
Time Buffer ◽  
Travel Time Index

This research analyses the characteristics of travel time reliability for the road network in Kota Bandar Lampung. Therefore, travel time consists of access, wait and interchange time, while its reliability deals with variations of in-passenger/private cars time. Survey of travel time on each road was carried out for 12 hours (from 06.00 to 18.00) for five working days. Furthermore, the buffer time method was used to measure the characteristics of time travel reliability consisting of five measuring tools, namely planning time, planning time index, buffer time, buffer time index and travel time index. This research found that the temporal effects are the main factor that tends to affect travel time, whereas network effects are the second factor that tends to affect travel time. Furthermore, the regression equation was developed to express the effect of planning time (TPlan) and free-flow travel time on average travel time .

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