Scipediacontent: Scipediacontent moved page Draft Content 729802333 to Lim 2010a

2021-01-25T10:50:11Z

Scipediacontent moved page Draft Content 729802333 to Lim 2010a

Scipediacontent: Created page with " == Abstract == Traffic information systems have become a major issue in many countries as a modern technology for alleviating traffic congestion in urban areas. Pre-trip or..."

2021-01-25T10:50:08Z

Created page with " == Abstract == Traffic information systems have become a major issue in many countries as a modern technology for alleviating traffic congestion in urban areas. Pre-trip or..."

New page

== Abstract ==

Traffic information systems have become a major issue in many countries as a modern technology for alleviating traffic congestion in urban areas. Pre-trip or en-route real-time travel information regarding traffic conditions can enhance driversâ knowledge of the situation in road networks and may assist in driversâ decisions such as the choice of departure time, route, and destination. In facts, several papers have shown that traffic information yields benefits to drivers such as travel-time reduction and the avoidance of traffic accidents, among others. In considering the potential benefits of alternative driver information systems, it is also necessary to evaluate the potential of adverse impacts that improved information may have. Ben-Akiva et al. (1991) explained this phenomenon in terms of three elements: oversaturation; overreaction; and concentration. Among them, overreaction and concentration are the principal causes of adverse effects. Overreaction occurs when driversâ reactions to traffic information cause congestion to transfer from one road to another. It may also generate fluctuations in road usage. Overreaction may occur if drivers respond too sensitively to information on current traffic conditions. Concentration may occur when drivers choose a specific route in a very short period. In order to implement the strategies of an Intelligent Transportation System (ITS), it is necessary to predict the temporal evolution of the traffic pattern on a congested transportation network, where travel demands and travel costs vary over time and space. For urban areas, dynamic models are mainly considered as they describe how commuters adjust their travel decisions concerning routes and departure times. Moreover, to model the impact of information provision by an ITS, it is necessary to develop a multi-class model given there are different classes of users in a transportation network, who respond in differing ways to traffic information. In this chapter, a multiple-user-class dynamic stochastic assignment (MDSA) model is introduced to reflect drivers who have varying perceptual errors and varying dynamic traffic behaviors. MDSA is an extended version of a static single-user-class assignment. The driver's route-choice mechanism is based on his/her past experience of the road traffic conditions during prior days of travel. Some information-provision strategies that are involved in a route-guidance system are also introduced for the effective use of the systems.

== Original document ==

The different versions of the original document can be found in:

* [http://www.intechopen.com/articles/show/title/multiple-user-class-dynamic-stochastic-assignment-for-a-route-guidance-strategy http://www.intechopen.com/articles/show/title/multiple-user-class-dynamic-stochastic-assignment-for-a-route-guidance-strategy]

* [https://www.intechopen.com/citation-pdf-url/10983 https://www.intechopen.com/citation-pdf-url/10983] under the license cc-by-nc-sa

* [https://www.intechopen.com/books/convergence-and-hybrid-information-technologies/multiple-user-class-dynamic-stochastic-assignment-for-a-route-guidance-strategy https://www.intechopen.com/books/convergence-and-hybrid-information-technologies/multiple-user-class-dynamic-stochastic-assignment-for-a-route-guidance-strategy],
: [https://cdn.intechopen.com/pdfs-wm/10983.pdf https://cdn.intechopen.com/pdfs-wm/10983.pdf],
: [https://academic.microsoft.com/#/detail/1524939259 https://academic.microsoft.com/#/detail/1524939259]

* [https://www.intechopen.com/download/pdf/10983 https://www.intechopen.com/download/pdf/10983],
: [http://dx.doi.org/10.5772/9648 http://dx.doi.org/10.5772/9648]

← Older revision	Revision as of 10:50, 25 January 2021
(No difference)

Lim 2010a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 729802333 to Lim 2010a

Scipediacontent: Created page with " == Abstract == Traffic information systems have become a major issue in many countries as a modern technology for alleviating traffic congestion in urban areas. Pre-trip or..."