Model-based simulation of driver expectation in mountainous road using various control strategies
نویسندگان
چکیده
Driver expectation is about driver’s objective response and expectation for various traffic environments. It might directly influence the driving safety and traffic operation. This paper discusses in enough detail the shaping mechanism of driver expectation while considers road geometer parameters, driver behavior and vehicle performance in mountainous road. Combined various geometer parameters with different driving characteristics, the vehicle trajectory and speed were selected as key factors for describing completely the vehicle’s operation condition. And then, the desired trajectory models were established using six basic forms of the desired trajectory. Based on the vehicle dynamics and control strategy, a desired speed model that consisted of the desired trajectory, the driver's experience and vehicle parameter was developed, the numerical simulation results show the simulation-based model of driver expectation is used to driving behavior analysis in mountainous road.
منابع مشابه
Road Departure Avoidance System Based on the Driver Decision Estimator
In this paper a robust road departure avoidance system based on a closed-loop driver decision estimator (DDE) is presented. The main idea is that of incorporating the driver intent in the control of the vehicle. The driver decision estimator computes the vehicle look ahead lateral position based on the driver input and uses this position to establish the risk of road departure. To induce a risk...
متن کاملThe Development of Maximum Likelihood Estimation Approaches for Adaptive Estimation of Free Speed and Critical Density in Vehicle Freeways
The performance of many traffic control strategies depends on how much the traffic flow models have been accurately calibrated. One of the most applicable traffic flow model in traffic control and management is LWR or METANET model. Practically, key parameters in LWR model, including free flow speed and critical density, are parameterized using flow and speed measurements gathered by inductive ...
متن کاملPredictors of speeding among drivers based on Prototype Willingness Model
Background: Every year 1.2 millions of people are killed in road accident, and speeding is a major contributor road crashes among young driver. Accounting 40% of fatal crashes involved speeding. The purpose of this study was determining predictor of speeding intention among young driver 19-25 years old young driver in ghaemshahr based on Prototype Willingness Model. Materials and methods: I...
متن کاملDeveloping a Model of Heterogeneity in Driver’s Behavior
Intelligent Driver Model (IDM) is a well-known microscopic model of traffic flow within the traffic engineering societies. While it is a powerful technique for modeling traffic flows, the Intelligent Driver Model lacks the potential of accommodating the notion of drivers’ heterogeneous behavior whenever they are on roads. Concerning the above mentioned, this paper takes the lane to recognize th...
متن کاملLane Change Trajectory Model Considering the Driver Effects Based on MANFIS
The lane change maneuver is among the most popular driving behaviors. It is also the basic element of important maneuvers like overtaking maneuver. Therefore, it is chosen as the focus of this study and novel multi-input multi-output adaptive neuro-fuzzy inference system models (MANFIS) are proposed for this behavior. These models are able to simulate and predict the future behavior of a Dri...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Int. J. Computational Intelligence Systems
دوره 4 شماره
صفحات -
تاریخ انتشار 2011