ORIGINAL ARTICLE
The role of vehicles’ identification techniques in transportation planning – Modeling concept

https://doi.org/10.1016/j.aej.2012.01.001Get rights and content
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Abstract

Every day, new development projects are coming to cope with the growing population and their corresponding life activities, and this is translated in a higher travel demand and disastrous congestion in most cities of the world, especially the private transport oriented societies. Traffic impact studies became a must for the construction of new developments. But, in many cases, the scope of such studies is limited to a close proximity, while the developments impact remains much more beyond the site vicinity.

Transportation studies that have been carried till now have a sizable margin of approximation as a result of two main deficiencies that are obvious for people involved in the field of traffic modeling and transportation planning:

  • (1)

    Is that there is no common, comprehensive, accurate and up-to-date source of information that can be relied on by the on-going transportation studies.

  • (2)

    The second deficiency is that in spite of exhausting congestion, people are still sticking to their private cars for doing their daily activities.

Focusing on the mentioned deficiencies and their negative consequences, the main purpose of this research is to introduce and implement through a set of developed interfaces the concept of real-time transportation modeling, and justify the need and importance of Radio Frequency Identification (RFID) Technique in achieving a comprehensive database for strategic planning parameters that can affect passengers’ travel behavior and consequently the transport modal split.

However, the research concept and applications are flexible to deal with other floating data collection techniques such as mobile phones data analysis, as well as license plate recognition and other systems. The paper explains the role of floating traffic data collection techniques in providing accurate real-time statistics for the following types of information: origin/destination data, traffic composition, trip rates, parking rates, parking turnover data, traffic contraventions, traffic growth factors, link traffic volumes, turning movement traffic volumes, vehicles’ classification, and security related data regarding suspected vehicles.

The research modeling work is based on PTV-Vision software, VISUM and VISSIM that are currently used in most of the international research studies. The research applications are programming in Microsoft excel and visual basic and thus are compatible with any modeling software.

Keywords

Transportation planning
Vehicles’ identification techniques
Real-time planning
Micro-simulation

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