About: Uncontrolled intersection is a research topic. Over the lifetime, 75 publications have been published within this topic receiving 982 citations.
TL;DR: The problem is similar to those of queueing with priority customers, of the 'service repeat' variety, but there is one important difference: at road junctions of the type considered there is a considerable loss of service time when changing from one type of ' customer' to the other.
Abstract: This paper is concerned with the average delay to vehicles on the minor road at a junction where the traffic on the major road has absolute priority. It is assumed that vehicles on the major road arrive at random, and pass through at intervals of not less than a time f1. Vehicles on the minor road arrive at random and pass through at intervals of not less than f2. Further, they cannot enter the junction within a time ax after the previous vehicle on the major road. Thus one minor-road vehicle can pass through a gap of duration between aX and a + /32 in the major-road traffic, two can pass in a gap of between a + fl2 and a + 2/2, and so on. A formula is derived for the average delay to vehicles on the minor road when the system is in statistical equilibrium. Extensive tabulations of this formula have been made, and an extract from these is given. The practical implications of the results are not discussed in the paper, but it is hoped to compare the delays with those obtained with traffic-light control. The problem is similar to those of queueing with priority customers, of the 'service repeat' variety, but there is one important difference: at road junctions of the type considered there is a considerable loss of service time when changing from one type of ' customer' to the other. Typical values of /,J and /12' the two service times, are of the order of 1 or 2 sec., but a gap a of about 7 sec. between two priority 'customers' is required for any non-priority 'customers' to be served. An analysis of a similar problem has been given by Winsten (Beckmann, McGuire & Winsten, 1955), but this was based on more restrictive assumptions. Some special cases of the result obtained here were given by Tanner (1953).
TL;DR: An intention-aware decision-making algorithm to solve this challenging problem in an uncontrolled intersection scenario and could lead autonomous vehicle to pass through uncontrolled intersections safely and efficiently.
Abstract: Autonomous vehicles need to perform social accepted behaviors in complex urban scenarios including human-driven vehicles with uncertain intentions. This leads to many difficult decision-making problems, such as deciding a lane change maneuver and generating policies to pass through intersections. In this paper, we propose an intention-aware decision-making algorithm to solve this challenging problem in an uncontrolled intersection scenario. In order to consider uncertain intentions, we first develop a continuous hidden Markov model to predict both the high-level motion intention (e.g., turn right, turn left, and go straight) and the low level interaction intentions (e.g., yield status for related vehicles). Then a partially observable Markov decision process (POMDP) is built to model the general decision-making framework. Due to the difficulty in solving POMDP, we use proper assumptions and approximations to simplify this problem. A human-like policy generation mechanism is used to generate the possible candidates. Human-driven vehicles’ future motion model is proposed to be applied in state transition process and the intention is updated during each prediction time step. The reward function, which considers the driving safety, traffic laws, time efficiency, and so forth, is designed to calculate the optimal policy. Finally, our method is evaluated in simulation with PreScan software and a driving simulator. The experiments show that our method could lead autonomous vehicle to pass through uncontrolled intersections safely and efficiently.
TL;DR: The objective of this study is to assess the level of traffic safety at an uncontrolled intersection using microsimulation modeling under mixed traffic condition by devising a unique strategy of measuring proximal safety indicator, Post Encroachment Time (PET).
Abstract: Abstract—Traffic safety is an important area in transportation engineering. Presently, most traffic safety assessment and prediction related work is based on the use of historical accident data that has known drawbacks related to the quality and coverage of data especially in developing countries like India. For the assessment of roadway solutions in the future, it is impractical and unethical to wait for accidents to occur before being able to draw statistically sound conclusions regarding safety impact. Hence there is a need to develop proactive models based on Surrogate Safety Measures (SSMs) for a more effective safety evaluation. The main advantage associated with the use of safety indicators is that they occur considerably more frequently than accidents, thereby implying an efficient and more statistically reliable proximal measure of traffic safety. The objective of this study is to assess the level of traffic safety at an uncontrolled intersection using microsimulation modeling under mixed traffic condition by devising a unique strategy of measuring proximal safety indicator, Post Encroachment Time (PET).
TL;DR: In this article, a study of gap acceptance behavior of drivers on an uncontrolled intersection is presented, where gap acceptance study is an indispensable study in the determination of capacity and delay of the individual moment at uncontrolled intersection and critical gap is one of the chief parameter allied with this study.
Abstract: The gap acceptance study is an indispensable study in the determination of capacity and delay of the individual moment at uncontrolled intersection and critical gap is one of the chief parameter allied with this study Most of the studies related to critical gap estimation have been carried out in developed countries where traffic is homogeneous and rules of priorities as well as lane disciplines are voluntarily followed However, in India, priority rules are less honored which consequently create more clashes on intersections and modelling of such behavior becomes complex Even though very limited studies have been reported in such case This paper presents the study of gap acceptance behavior of drivers on an uncontrolled intersection In order to examine the gap acceptance behavior of drivers, 4-legged uncontrolled intersection located in a semi-urban area of Ahmedabad in the state of Gujarat was selected Video recording technique was adopted for collection and analysis of the data Different existing methods are used to calculate the critical gap for through and right turning movements from the minor road Gaps are analyzed for three different vehicle types A comparison between different existing methods of critical gap determination is carried out and their critical analysis is presented The result shows, except clearing behavior approach, all other methods are failing to represent the actual scenario of the critical gap under mixed traffic conditions as these all methods had been developed for homogeneous traffic conditions
TL;DR: The rule based collision avoidance algorithm can provide real-time collision detection and make safe deceleration for the cars crossing the uncontrolled intersection and demonstrate the function among the connected vehicles in intersection.
Abstract: Aiming to address the safety issue for the uncontrolled intersection, the existing schemes including design optimization of the intersection structure and additional traffic signal layout will waste lots of resources. With the rapid development of intelligent transportation, the technology of vehicle-vehicle communication provides a new way for this problem. The paper proposed a set of rules to clarify the sequence of vehicles to pass through uncontrolled intersection. The rules are planned based on the law of road traffic safety. According to the rules, each approaching car makes decision for preempting or yielding other cars based on the information from vehicle-vehicle communication. If the approaching car needs to yield other cars, the authors propose an algorithm to find a proper deceleration value to do yielding. The car brakes automatically using this deceleration value to avoid collision with other cars. After all, the tests were done to verify the effectiveness of the algorithm and demonstrate the function among the connected vehicles in intersection. The rule based collision avoidance algorithm can provide real-time collision detection and make safe deceleration for the cars crossing the uncontrolled intersection.