Studies in the Economics of Transportation.

R., D. J.; Beckman, M. G.; McGuire, Charlie; Winsten, C. B.; Koopmans, Tjalling C.

doi:10.2307/3007560

Cited by 262 publications

(1 citation statement)

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“…Wardrop defined a state resulting from many individuals' route choices, known as user equilibrium (UE), by assuming all road users behave entirely rationally and aim to minimize their disutility, but no user can improve his or her utility by changing routes unilaterally [18]. R. et al proposed the solution of the UE assignment assumptions by an equivalent-nonlinear-mathematicaloptimization program [19]. Daganzo & Sheffi proposed a stochastic user equilibrium (SUE) model that considers the passengers' imperfect estimates of trip time [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Constructing Route Choice Mobile Application Using the Real-Time Traffic Information

Elbany

Sadek

Abd-elazeem

2022

Port-Said Engineering Research Journal

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Traffic congestion is a major issue in Egyptian cities. It's a multifaceted problem with many challenges, making it difficult to solve in the short term because it requires predictable route choice behavior and decisions. Real-time traffic data may help passengers avoid congestion and save time and cost. Mobile route-choice applications are required to facilitate travelers' route choice decisions. Port-Said's location on Suez Canal makes transit to/from Port-Fouad important. This paper presents a route choice mobile application for people traveling from Port-Said to Port-Fouad. It depends on predicting the real travel time between the two cities with addition to queuing time. Intelligent traffic system techniques and the Google Application Programming Interface (API) maps have been used to collect travel data. The application travel time estimations have been corroborated using actual values. The results show that the model is performing well and give an acceptable prediction of the average percentage error around 7% which is lower than the average percentage error of Google Maps travel time estimates by about 23%. This indicates the recommended effective outcome of the introduced mobile application in addition to facilitate the provision of route data for the traveler at any time.

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Section: Literature Reviewmentioning

confidence: 99%