scholarly journals Traffic Assignment Simulation Analysis considering the Drivers' Travel Time Perception Updating Process under the Travel Time Information

2007 ◽  
Vol 24 ◽  
pp. 525-536
Author(s):  
Yasuyuki NAKAHIRA ◽  
Yasuhiro HIROBATA ◽  
Phynum KOV
Keyword(s):  
Travel Time ◽  
Time Perception ◽  
Traffic Assignment ◽  
Simulation Analysis ◽  
Time Information

Analysis on an Effect from the Build-up of Incident Management System

2011 ◽  
Vol 271-273 ◽  
pp. 651-656
Author(s):  
Sung Han Lim
Keyword(s):  
Cost Analysis ◽  
Travel Time ◽  
Management System ◽  
Social Cost ◽  
Simulation Analysis ◽  
Operation Time ◽  
Incident Management ◽  
The Road ◽  
Vehicle Operation ◽  
On The Road

If an incident occurs on the road, the normal flow of traffic stream is interrupted and the road capacity reduces. This thus leads to huge social, economical losses, such as traffic congestion, air pollution, etc. This study was conducted to examine an effect on an incident management system by carrying out an simulation analysis and an social cost analysis. For the simulation analysis, incidents in a normal situation were compared with those in an incidental situation and thus travel time, queue length, and accident duration were selected as an evaluation indicator. It was analyzed that after an incident situation occurs, the length of vehicle in waiting rapidly increases and thus travel time also largely increases. To make an social cost analysis, vehicle operation cost (VOC) and vehicle operation time (VOT) were used an index. The results showed that travel time cost per driver and vehicle in an incidental situation all increased, compared with that in a normal situation. It was also observed that the longer the lasting hours are, the higher the travel time increases.

Advanced Techniques for Travel Time Data Collection

1996 ◽  
Vol 1551 (1) ◽  
pp. 51-58 ◽  
Author(s):  
Shawn M. Turner
Keyword(s):  
Data Collection ◽  
Travel Time ◽  
Real Time ◽  
Cellular Phone ◽  
License Plate ◽  
Time Data ◽  
Video Imaging ◽  
Advantages And Disadvantages ◽  
Travel Time Data ◽  
Time Information

Travel time information is becoming more important for applications ranging from congestion measurement to real-time travel information. Several advanced techniques for travel time data collection are discussed, including electronic distance-measuring instruments (DMIs), computerized and video license plate matching, cellular phone tracking, automatic vehicle identification (AVI), automatic vehicle location (AVL), and video imaging. The various advanced techniques are described, the necessary equipment and procedures are outlined, the applications of each technique are discussed, and the advantages and disadvantages are summarized. Electronic DMIs are low in cost but typically limited to congestion monitoring applications. Computerized and video license plate matching are more expensive and would be most applicable for congestion measurement and monitoring. Cellular phone tracking, AVI, and AVL systems may require a significant investment in communications infrastructure, but they can provide real-time information. Video imaging is still in testing stages, with some uncertainty about costs and accuracy.

scholarly journals Travel Behavior Analysis Using 2016 Qingdao’s Household Traffic Surveys and Baidu Electric Map API Data

2019 ◽  
Vol 2019 ◽  
pp. 1-18 ◽  
Author(s):  
Ge Gao ◽  
Zhen Wang ◽  
Xinmin Liu ◽  
Qing Li ◽  
Wei Wang ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Field Study ◽  
Behavior Analysis ◽  
Travel Time ◽  
Travel Behavior ◽  
High Accuracy ◽  
Travel Distance ◽  
Distance Analysis ◽  
Trip Time ◽  
Time Information

Household traffic surveys are widely used in travel behavior analysis, especially in travel time and distance analysis. Unfortunately, any one kind of household traffic surveys has its own problems. Even all household traffic survey data is accurate, it is difficult to get the trip routes information. To our delight, electric map API (e.g., Google Maps, Apple Maps, Baidu Maps, and Auto Navi Maps) could provide the trip route and time information, which remedies the traditional traffic survey’s defect. Thus, we can take advantage of the two kinds of data and integrate them into travel behavior analysis. In order to test the validity of the Baidu electric map API data, a field study on 300 taxi OD pairs is carried out. According to statistical analysis, the average matching rate of total OD pairs is 90.74%, which reflects high accuracy of electric map API data. Based on the fused data of household traffic survey and electric map API, travel behavior on trip time and distance is analyzed. Results show that most purposes’ trip distances distributions are concentrated, which are no more than 10 kilometers. It is worth noting that students have the shortest travel distance and company business’s travel distance distribution is dispersed, which has the longest travel distance. Compared to travel distance, the standard deviations of all purposes’ travel time are greater than the travel distance. Car users have longer travel distance than bus travelers, and their average travel distance is 8.58km.

scholarly journals A Dynamic Traffic Assignment Model for the Sustainability of Pavement Performance

2018 ◽  
Vol 11 (1) ◽  
pp. 170 ◽  
Author(s):  
Xinhua Mao ◽  
Jianwei Wang ◽  
Changwei Yuan ◽  
Wei Yu ◽  
Jiahua Gan
Keyword(s):  
Travel Time ◽  
Traffic Flow ◽  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Heavy Traffic ◽  
Pollutant Emissions ◽  
Pavement Performance ◽  
Dynamic Traffic ◽  
Teaching Learning ◽  
Pavement Damage

Existing Dynamic Traffic Assignment (DTA) models assign traffic flow with the principle of travel time, which are easy to distribute most of the traffic flows on the shortest path. A serious unbalance of traffic flow in the network can speed up pavement deterioration of highways with heavy traffic, which influences the sustainability of pavement performance and increases maintenance expenditures. The purpose of this research is to obtain a more optimized traffic assignment for pavement damage reduction by establishing a multi-objective DTA model with the objectives of not only minimum travel time but minimum decline of Present Serviceability Index (PSI) for pavements. Then, teaching-learning-based optimization (TLBO) algorithm is utilized to solve the proposed model. Results of a case study indicate that a more balanced traffic flow assignment can be realized by the model, which can effectively reduce average PSI loss, save maintenance expenditures, extend pavement service life span, save fuel consumption and reduce pollutant emissions in spite of a little increase of average travel time. Additionally, sensitivity of weight factor for the two objective functions is analyzed. This research provides some insights on methods on sustainable pavement performance.

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