You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: An Overview of Moving Object Trajectory Compression Algorithms 
Chapter Title:  Speed Error. 
1. Abstract of Cited Paper (BIB001):  This paper proposes the use of a wireless sensor network of "cat's eye" augmented with embedded processing, communication, and sensing capabilities to monitor vehicle behaviour on augmented roads. The primary goal of the system is to provide drivers with early warning of potentially dangerous situations that may arise. The focus of the paper is on the software architecture needed and the technical challenges to be overcome in order to support this and related applications.

Literature Review:
Speed error (SpdE) is an important metric for various kinds of transit applications. For instance, velocity measurement system gets overspeed hotspots by velocity information BIB001 , as well as acceleration and deceleration data help to identify all kinds of irregular driving behaviors, which will help police to find vehicle's illegal activities BIB002 . The computing method of speed error is similar to heading error. It calculates the difference value between actual velocity and estimated velocity instead of calculating angular deflection. Information Loss Degree based on SED (ILDSED) is the mean value of maximum SED distance error (SEDEmax(OT, RT)), average SED distance error (SEDEavg(OT, RT)), and minimum SED distance error (SEDEmin(OT, RT)) between original trajectory OT and compressed trajectory RT, which can be calculated as Information Loss Degree based on DTW (ILDdtw) is measured by the time warping distance between original trajectory OT and compressed trajectory RT, which can be calculated as others. Here, SEDE(op 1 , rp 1 ) is the SED error between point op 1 and rp 1 , which, respectively, are the first point of OT and RT. Rest(OT) and Rest(RT) are the remaining trajectory after removing the first sampling point. ILDdtw calculates the Information Loss Degree by DTW error. Information Loss Degree based on Speed Corner (ILDcorner) is measured by the original and compressed Speed Corner of moving objects which can be calculated as