Deployment and Field Evaluation of In-Vehicle Traffic Signal Advisory System (ITSAS)

Abstract

This research evaluates the impact of In-vehicle Signal Advisory System (ITSAS) on signalized arterial. ITSAS provides individual drivers equipped with a mobile communication device with advisory speed information enabling to minimize the time delay and fuel consumption when crossing intersection. Given the instantaneous vehicular driving information, such as position, speed, and acceleration rate, ITSAS produces advisory speed information by taking into consideration the traffic signal changes at a downstream intersection. The advisory speed information includes not only an optimal speed range updated every 300-ft for individual drivers but also a descriptive message to warn drivers stop to ensure safety at the downstream intersection. Unlike other similar Connected Vehicles applications for intersection management, ITSAS does not require Roadside Equipment (RSE) to disseminate the advisory speed information as it is designed to exploit commercial cellular network service (i.e., 3G and 4G-LTE). Thus, ITSAS can be easily plugged into existing traffic control management system to rapidly conduct its implementation without significant additional cost. This research presents the field evaluations of ITSAS on a signalized corridor in New Jersey, which discovered significant travel time savings for the equipped vehicle.

The short-term prediction of the mobile communication traffic based on the product seasonal model

“…With the widespread use of mobile devices, a large number of high-resolution spatial and temporal data are collected. Scientists use different methods to analyze mobile communication data to study human behavior [1,2], predict trends in mobile communication data [3], establish the traffic signal advisory system [4] and analyze the future development of mobile services [5,6]. With the rapid development of mobile network and the universality of network services, the storage of traffic increases.…”

Development and Evaluation of Cooperative Intersection Management Algorithm under Connected and Automated Vehicles Environment

“…Such systems heavily rely on the traffic counts and turning movement data that is naturally associated with a significant level of variation. The connected vehicle concept supported by the data exchange protocols constitute a controlled environment for an instantaneous exchange of information between vehicles and signal controllers (8). This environment opens multiple opportunities for cooperative applications allowing more efficient and reliable vehicle operations (9)(10)(11).…”

Joint Optimization of Signal Phasing and Timing and Vehicle Speed Guidance in a Connected and Autonomous Vehicle Environment

“…Providing speed recommendations to individual vehicles and/or coordinating speeds between individual vehicles using vehicle-to-vehicle technologies is more practical and realistic at the present time. Different methods of doing this have been proposed to reduce vehicle delay and number of stops ( 19 – 23 ) and to save fuel consumption and emissions ( 24 – 32 ). However, most of these studies do not consider human drivers’ reaction times in the design of speed guidance.…”

“…However, both of these studies applied deterministic values for all human drivers in the simulation and did not consider how performance would change in a stochastic environment. Three papers recruited human drivers to test the performance of the speed guidance algorithm and presented the average and variance of fuel consumption and travel time among participants ( 29 – 31 ); however, none of the human driver characteristics (e.g., reaction time) were considered during speed guidance design. Furthermore, most studies assumed a 100% penetration ratio of connected vehicles and/or a fixed and known signal timing strategy, which limits practical implementation and the flexibility of the algorithm.…”