Exploring the use of advanced traffic information system to manage traffic congestion in developing countries

Abstract Presently, advanced traveler information system (ATIS) is extensively used elsewhere and is regarded as an important component for road traffic control and management. ATIS uses information and communication technology to broadcast traveler information to commuters to help them in scheduling their trips and also offer directions on the way. Information provided by ATIS may include: traffic condition (which may be presented in queue length, travel time, or delay), incidents such as road traffic crash and their geographical locations, events such as road construction and demonstrations, optimal routes, and inclement weather which may disrupt traffic. The traffic information may be transmitted via mechanisms such as radio and television, dynamic navigation systems (in-vehicle or mounted), internet services, smart phone services (e.g. specially designed application) and variable speed limit or changeable message signs systems. Providing commuters with accurate, timely and reliable traffic information will influence travel behavior and ultimately result in reduced travel time and traffic congestion along with reduced vehicle emissions and fuel consumption. Notwithstanding the benefits which can be derived from using intelligent transport systems to manage traffic, its use can be described as being in the basic stage in most developing countries. This paper discusses how ATIS can play a vital role of efforts to reduce traffic congestion in emerging nations.

[1]  Robert L. Bertini,et al.  Comparative Analysis of Real-time Traffic Information for Navigation and the Variable Speed Limit System , 2016 .

[2]  R. Bertini,et al.  Transit Buses as Traffic Probes: Use of Geolocation Data for Empirical Evaluation , 2004 .

[3]  Klaus Bogenberger,et al.  Quality Evaluation Method for Variable Speed Limit Systems , 2015 .

[4]  David M Levinson,et al.  Determinants of Route Choice and Value of Traveler Information , 2006 .

[5]  Guillaume Leduc,et al.  Road Traffic Data: Collection Methods and Applications , 2008 .

[6]  Toshiyuki Yokota ITS for developing countries , 2004 .

[7]  A. D. Jong Quality of real-time travel time information: a research to travel times presented to drivers in the Netherlands , 2012 .

[8]  Sandra Geisler,et al.  Accuracy Assessment for Traffic Information Derived from Floating Phone Data , 2010 .

[9]  Randolph W. Hall,et al.  ROUTE CHOICE AND ADVANCED TRAVELER INFORMATION SYSTEMS ON A CAPACITATED AND DYNAMIC NETWORK , 1996 .

[10]  Fakhri Karray,et al.  Multisensor data fusion: A review of the state-of-the-art , 2013, Inf. Fusion.

[11]  David M Levinson,et al.  The Value of Advanced Traveler Information Systems for Route Choice , 2003 .

[12]  Henry Leung,et al.  Data fusion in intelligent transportation systems: Progress and challenges - A survey , 2011, Inf. Fusion.

[13]  K. Small,et al.  Induced demand and rebound effects in road transport , 2010 .

[14]  Janet Kemunto Oyaro,et al.  The impact of pre-trip and on-trip traffic information on network performance: case of the Amsterdam network , 2013 .

[15]  R. Cervero Road Expansion, Urban Growth, and Induced Travel: A Path Analysis , 2001 .

[16]  Robert L. Bertini,et al.  Assessing the Harmonization Potential of Variable Speed Limit Systems , 2016 .

[17]  Asad J. Khattak,et al.  Traveler Information Delivery Mechanisms , 2008, Transportation Research Record: Journal of the Transportation Research Board.

[18]  E. Molin,et al.  Use and Effects of Advanced Traveller Information Services (ATIS): A Review of the Literature , 2006 .

[19]  Robert Cervero,et al.  Induced Travel Demand: Research Design, Empirical Evidence, and Normative Policies , 2002 .

[20]  L. Aultman-Hall,et al.  ARTIMIS Telephone Travel Information Service: Current Use Patterns and User Satisfaction , 1999 .