Multianticipative Nonlocal Macroscopic Traffic Model

D Ngoduy, Eddie Wilson

Research output: Contribution to journalArticle (Academic Journal)peer-review

35 Citations (Scopus)


Multianticipative driving behavior, where a vehicle reacts to many vehicles in front, has been extensively studied and modeled using a car-following (i.e., microscopic) approach. A lot of effort has been undertaken to model such multianticipative driving behavior using a macroscopic approach, which is useful for real-time prediction and control applications due to its fast computational demand. However, these macroscopic models have increasingly failed with an increased number of anticipations. To this end, this article puts forward derivation of an improved macroscopic model for multianticipative driving behavior using a modified gas-kinetic approach. First, the basic (microscopic) generalized force model, which has been claimed to fit well with real traffic data, is chosen for the derivation. Second, the derivation method relaxes the condition that deceleration happens instantaneously. Theoretical analysis and numerical simulations of the model are carried out to show the improved performance of the derived model over the existing (multianticipative) macroscopic models.
Original languageEnglish
Pages (from-to)248-263
Number of pages16
JournalComputer-Aided Civil and Infrastructure Engineering
Issue number4
Early online date25 Jul 2013
Publication statusPublished - Apr 2014


Dive into the research topics of 'Multianticipative Nonlocal Macroscopic Traffic Model'. Together they form a unique fingerprint.

Cite this