TITLE

EFFECTS OF VEHICLE NUMBER FEEDBACK IN MULTI-ROUTE INTELLIGENT TRAFFIC SYSTEMS

AUTHOR(S)
DONG, CHUANFEI; MA, XU; WANG, BINGHONG
PUB. DATE
August 2010
SOURCE
International Journal of Modern Physics C: Computational Physics;Aug2010, Vol. 21 Issue 8, p1081
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
We first study dynamics of traffic flow with real-time information and the influence of a new feedback strategy named Vehicle Number Feedback Strategy (VNFS) in a multi-route scenario in which dynamic information can be generated and displayed on the board (the board refers to a variable message sign where information on the routes is displayed) to guide road users to make a choice. In a multi-route scenario, our model incorporates the effects of adaptability into the cellular automaton models of traffic flow and simulation results adopting vehicle number feedback strategy have demonstrated high efficiency in controlling spatial distribution of traffic patterns compared with the other three information feedback strategies, i.e. Travel Time Feedback Strategy (TTFS), Mean Velocity Feedback Strategy (MVFS) and Congestion Coefficient Feedback Strategy (CCFS). We also discuss the influence of expected arrival rate (Vp) at the entrance on the average flux of each route, and we find that the flux adopting VNFS is always the largest at each Vp value among these four feedback strategies.
ACCESSION #
53035484

 

Related Articles

  • Travel Behavior Analysis Using 2016 Qingdao's Household Traffic Surveys and Baidu Electric Map API Data. Gao, Ge; Wang, Zhen; Liu, Xinmin; Li, Qing; Wang, Wei; Zhang, Junyou // Journal of Advanced Transportation;3/11/2019, p1 

    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...

  • Accounting for travel time reliability, trip purpose and departure time choice in an agent-based dynamic toll pricing approach. Wan Li; Danhong Cheng; Bian, Ruijie; Ishak, Sherif; Osman, Osama A. // IET Intelligent Transport System;2018, Vol. 12 Issue 1, p58 

    This study introduces an agent-based dynamic feedback-control toll pricing strategy that accounts for the trip purpose, travel time reliability, departure time choice and level of income such that the toll revenue is maximised while maintaining a minimum desired level of service on the managed...

  • Convergence of a Discretised Travel-Time Model. Carey, Malachy; Ge, Y. E. // Transportation Science;Feb2005, Vol. 39 Issue 1, p25 

    In network models for dynamic traffic assignment (DTA), the travel time on a link is often treated as a function of the number of vehicles on the link. Instead of applying this model to the whole link, we divide the link into segments, apply the model (suitably adjusted)sequentially to these...

  • Identifying optimal data aggregation interval sizes for link and corridor travel time estimation and forecasting. Dongjoo Park; Laurence R.Rilett; Byron J.Gajewski; Clifford H.Spiegelman; Changho Choi // Transportation;Jan2009, Vol. 36 Issue 1, p77 

    With the recent increase in the deployment of ITS technologies in urban areas throughout the world, traffic management centers have the ability to obtain and archive large amounts of data on the traffic system. These data can be used to estimate current conditions and predict future conditions...

  • 'Going Up' is Made More Efficient. Garris, Leah B. // Buildings;May2010, Vol. 104 Issue 5, p32 

    The article discusses the sustainability benefits of using a destination dispatch elevator system. The system is said to be more efficient in terms of how building occupants are transported, aside from providing significant increases in passenger load at one time, which, in turn offers reduction...

  • Impact of heavy vehicles on surrounding traffic characteristics. Moridpour, Sara; Mazloumi, Ehsan; Mesbah, Mahmoud // Journal of Advanced Transportation;Jun2015, Vol. 49 Issue 4, p535 

    This work examines the impact of heavy vehicle movements on measured traffic characteristics in detail. Although the number of heavy vehicles within the traffic stream is only a small percentage, their impact is prominent. Heavy vehicles impose physical and psychological effects on surrounding...

  • Data fusion algorithm improves travel time predictions. Lim, S.; Lee, C. // IET Intelligent Transport System;Dec2011, Vol. 5 Issue 4, p302 

    Travel time is considered more useful to users than other travel-related information such as speed. It is mainly estimated by point or interval detection systems. In this study, the authors investigate the deficiency of these systems in estimating travel times when they are used in isolation,...

  • DATA DAZE.  // Planner;Oct2013, p50 

    This section presents the average minimum travel time across seven key services, which include work, primary school, hospital, and food store, for England in 2012.

  • Measuring Values of Travel Time Savings. Cherlow, Jay R. // Journal of Consumer Research;Mar81, Vol. 7 Issue 4, p360 

    Previous attempts to estimate values of travel-time savings from behavioral and nonbehavioral models are reviewed and analyzed. Various methods are compared and evaluated with respect to their usefulness in obtaining accurate estimates. Future research emphasizing derivation of individual values...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics