Abstract
The timely lane-changing (LC) warning information should be informed to vehicles upstream when some things (such as accident or vehicle breakdown) happen. To avoid secondary accidents or reduce traffic congestion, this paper investigates the optimal LC warning point in a two-lane road considering the different traffic condition. The Intelligent Driver car-following Model and MOBIL LC model are used to describe the vehicle's longitudinal and lateral motion rules, and methods based on probability theory and numerical simulations are proposed to investigate the optimal warning point under different traffic scenarios. The numerical results show that: i) the successful LC probability is not monotone changing with velocity. ii) providing LC warning information can reduce the average travel time, especially in moderate or congested traffic conditions. iii) the appropriate LC warning point location range becomes smaller with the increase of flow rate. iv) the effective LC warning point is about 30–300 meters far from the event point under different traffic flows.
| Original language | English |
|---|---|
| Article number | 123000 |
| Journal | Physica A: Statistical Mechanics and its Applications |
| Volume | 540 |
| DOIs | |
| Publication status | Published - 15 Feb 2020 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Free Keywords
- Car-following model
- Lane-changing model
- Lane-changing warning point
- Probability theory
ASJC Scopus subject areas
- Statistical and Nonlinear Physics
- Statistics and Probability
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